date:20140426

[UAI] Post-Doc in Planning and Robotics - Ben-Gurion Univerity

2014-04-26 Thread Ronen Brafman

We are seeking candidates for a two-year post-doc at the department of computer 
science in Ben-Gurion University starting Oct. 1 2014 or earlier.
The post-doc will be in charge of a service-robot project that includes 
researchers from the areas of planning, vision, NLP, and mechanical engineering.
The ideal candidate should have background both in robotics and in automated 
planning and especially planning under uncertainty.
Good working knowledge of ROS is great plus. The scholarship is roughly 
1Shekel/month, tax free (approx 2000 euro or 2800$). 
Work will involve implementing the basic control architecture, and integrating 
planning under uncertainty techniques into it.

Interested candidates should send a CV to Prof. Ronen Brafman, 
braf...@cs.bgu.ac.il



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[UAI] AAi Short Course - 'Advanced Data Analytics - an Introduction' - Wednesday 7 May 2014

2014-04-26 Thread Advanced Analytics

Dear Colleague,

AAi Short Course - 'Advanced Data Analytics - an Introduction' - Wednesday 7
May 2014
https://shortcourses-bookings.uts.edu.au/ClientView/Schedules/ScheduleDetail.aspx?ScheduleID=1571

The AAI short course 'Advanced Data Analytics' may well be of interest to you
and your organisation and key personnel.

This Data Analytics introductory short course will provide an early and
rewarding understanding of the level of analytics which your organisation and
your people should be seeking.
Course outcomes
Upon completion of this course students will:

* Understand why advanced data analytics is essential to your business
success
* Understand the key terms and concepts used in advanced data analytics
* Understand relations of big data, clouding computing and analytics
* Be familiar with basic skills of statistics in data analytics, including
descriptive analysis, regression, multivariate data analysis
* Learning basic data mining and data warehousing, visualization and
reporting, such as supervised vs unsupervised methods, clustering, association
rule and frequent mining and so on
* Knowing key techniques in machine learning, such as Parametric and
non-parametric models, learning and inference, Maximum-likelihood estimation,
and Bayesian approaches and so on
* Be given the introduction of social media analytics, multimedia analytics,
and the real projects or case studies conducted in AAI
Future short courses on Data Analytics and Big Data may be viewed at
http://www.uts.edu.au/research-and-teaching/our-research/advanced-analytics-institute/short-courses/upcoming-courses

Recommended first introductory public short course to attend in the series of
advanced data analytic short courses - please register here
https://shortcourses-bookings.uts.edu.au/ClientView/Schedules/ScheduleDetail.aspx?ScheduleID=1571

Happy to discuss at your convenience.

Regards.

Colin Wise
Operations Manager

Faculty of Engineering & IT
The Advanced Analytics Institute

[cid:image001.png@01CF5EEA.736D87F0]

University of Technology, Sydney
Blackfriars Campus Building 2, Level 1
Tel. +61 2 9514 9267
M. 0448 916 589
Email: colin.w...@uts.edu.au
AAI: www.analytics.uts.edu.au/

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[UAI] 4th International Conference on Model & Data Engineering (MEDI 2014): Last Mile

2014-04-26 Thread Announce Announcements


*** LAST MILE ***
(extended deadlines)

4th INTERNATIONAL CONFERENCE ON MODEL & DATA ENGINEERING
(MEDI 2014)

Lordos Beach Hotel, Larnaca, Cyprus

24-26 September, 2014

http://medi2014.cs.ucy.ac.cy/

The main objective of the conference is to provide a forum for the 
dissemination of
research accomplishments and to promote the interaction
and collaboration of research communities issued from modelling and system
modelling on the one hand and data and data modelling on the other hand.
MEDI 2014 provides an international infrastructure for the presentation of
research results and experimentations on models and data theory, development of
advanced technologies related to models and data and their
advanced applications and case studies. This international scientific event,
initiated by researchers from Euro-Mediterranean countries, aims also at
promoting the creation of north-south scientific networks, projects and
faculty/student exchanges and of other parts of the world as well.


Keynote Speakers

Mukesh Mohania, IBM India: Talk on the data side
Dominique Mery, Loria, Nancy, France: Talk on the model side


Aim and Scope

Specific areas of interest to MEDI'2014 include but are not limited to:

Modelling and Models Engineering:
- Design of General-purpose Modelling Languages and Related Standards
- Model Driven Engineering, Modelling Languages, Meta-modelling, Model

Transformation, Model Evolution:
- Formal Modelling, Verification and Validation, Analysis, Testing
- Ontology Based Modelling, Role of Ontologies in Modelling Activities
- Model Manipulation and models as first objects
- Heterogeneous modelling, model integration and interoperability
- Applications and case studies

Data Engineering:
- Heterogeneous data, data Integration and Interoperability
- Distributed, Parallel, Grid, Peer to Peer, Cloud Databases
- Data Warehouses and OLAP, Data Mining
- Database System Internals, Performance, Self-tuning Benchmarking
  and Testing
- Database Security, Personalization, Recommendation
- Web Databases, Ontology Based Databases, PDMS
- Applications and case studies

Modeling for Data Management:
- New Models and Architectures for Databases and Data Warehouses
- Modeling and Quality of Data
- Modeling for Enhancing Sharing Data
- Models for Explicit and Implicit Semantics based Data Optimization
- Model Reification, Model Repositories
- Modeling Non Functional Properties of Systems
- Data as models and Models as Data
- Service based data management and service oriented applications
- Models for data Monitoring
- Urbanization of Database Applications

Applications and tooling:
- Industry transfer, experiences
- Data and Model manipulation and tooling
- Modelling tools and experimentation

Conference Location

Lordos Beach Hotel, Larnaca
https://www.lordosbeach.com.cy/en/


Submission Guidelines and Instructions

Authors are invited to submit research and application papers representing
original, previously unpublished work. Papers should be submitted in PDF or
Word format. Submissions must conform to Springer's LNCS format and should
not exceed 12 pages (including all text, figures, references and appendices).
Authors who want to buy extra pages may submit a paper up to 15 pages with
the indication that the authors will purchase extra pages if the paper is
accepted. Submissions which do not conform to the LNCS format and/or which
do exceed 12 pages (or up to 15 pages with the extra page purchase
commitment) will be rejected without reviews. Submitted papers will be
carefully evaluated based on originality, significance, technical soundness, and
clarity of exposition. All accepted papers will be published in Lecture Notes in
Computer Science (LNCS) by Springer-Verlag. Duplicate submissions are not
allowed. A submission is considered to be a duplicate submission if it is
submitted to other conferences/workshops/journals or it has been already
accepted to be published in other conferences/workshops/journals. Duplicate
submissions thus will be automatically rejected without reviews. Submissions
require explicit consent from all listed authors.


Important Dates

Abstract submission: April 28, 2014 (extended deadline)
Full-paper submission: May 9, 2014 (extended deadline)
Acceptance notification: June 16, 2014
Camera Ready: July 7, 2014


Paper Publication

All accepted papers will be published in Lecture Notes in Computer Science
(LNCS) by Springer-Verlag. Best papers will be invited for submission in a
special issue of the Future Generation Computer Systems (Elsevier), the
International Journal of Cooperative Information Systems (World Scientific)
and Fundamenta Informaticae (IOS Press).


Keynotes Speakers

Mukesh MOHANIA, IBM, INDIA : Data and Data models
Dominique MERY, Loria, Nancy, France: Models and system modelling


Conference Organization

General Chairs
Ladjel Bellatreche, ENSMA, Poitiers University, France
George A. Papadopoulos, Department of Computer Science, University of
Cyprus

Programme Committ

[UAI] Workshop on "Model generalization and reuse over multiple contexts"- ECML 2014

2014-04-26 Thread Cèsar Ferri



[Apologies for cross-postings]

##


LMCE 2014 # First International Workshop on Learning over Multiple 
Contexts @ ECML 2014


Generalization and reuse of machine learning models over multiple contexts

A workshop held in conjunction with the ECML PKDD 2014, Nancy, France, 
15-19 September 2014


http://www.dsic.upv.es/~flip/LMCE2014/

##

=== Call for Papers ===

Adaptive reuse of learnt knowledge is of critical importance in the 
majority of knowledge-intensive application areas, particularly when the 
context in which the learnt model operates can be expected to vary from 
training to deployment. In machine learning this has been studied, for 
example, in relation to variations in class and cost skew in (binary) 
classification, leading to the development of tools such as ROC analysis 
to adjust decision thresholds to operating conditions concerning class 
and cost skew. More recently, considerable effort has been devoted to 
research on transfer learning, domain adaptation, and related approaches.


Given that the main business of predictive machine learning is to 
generalise from training to deployment, there is clearly scope for 
developing a general notion of operating context. Without such a notion, 
a model predicting sales in Prague for this week may perform poorly in 
Nancy for next Wednesday. The operating context has changed in terms of 
location as well as resolution. While a given predictive model may be 
sufficient and highly specialised for one particular operating context, 
it may not perform well in other contexts. If sufficient training data 
for the new context is available it might be feasible to retrain a new 
model; however, this is generally not a good use of resources, and one 
would expect it to be more cost-effective to learn one general, 
versatile model that effectively generalizes over multiple and possibly 
previously unseen contexts.


The aim of this workshop is to bring together people working in areas 
related to versatile models and model reuse over multiple contexts. 
Given the advances made in recent years on specific approaches such as 
transfer learning, an attempt to start developing an overarching theory 
is now feasible and timely, and can be expected to generate considerable 
interest from the machine learning community. Papers are solicited in 
all areas relating to model reuse and model generalization including the 
following areas:


* transfer learning
* data shift and concept drift
* domain adaptation
* transductive learning
* multi-task learning
* ROC analysis and cost-sensitive learning
* background knowledge
* relational learning
* context-aware applications
* incomplete information, abduction
* meta-learning

=== Submission of Papers ===

We welcome submissions describing work in progress as well as more 
mature work related to learning over multiple contexts. Submissions 
should be between 6 and 16 pages in the same format as the main 
conference (LNAI). Authors of accepted papers will be asked to prepare a 
poster, and selected authors will be given the opportunity of a plenary 
presentation during the workshop.


Submission website: https://www.easychair.org/conferences/?conf=lmce2014

After the workshop, contributing authors will be invited to submit a 
paper to a special issue of the Machine Learning journal dedicated to 
the topic of the workshop.


=== Important Dates ===

Submission: 20 June 2014
Notification: 11 July 2014
Final verion: 25 July 2014

=== Program Committee ===

Chowdhury Farhan Ahmed, University of Strasbourg, France
Charles Elkan, University of California - San Diego, USA
Amaury Habrard, University Jean Monnet (UJM) of Saint-Etienne, France
Francisco Herrera, Universidad de Granada, Spain
Meelis Kull, University of Bristol, UK
Dragos Margineantu, Boeing Research, USA
Weike Pan, Shenzhen University, China
Joaquin Quiñonero, Facebook, USA
María José Ramírez-Quintana, Universitat Politècnica de València, Spain
Carlos Soares, University of Porto, Portugal
Masashi Sugiyama, Tokyo Institute of Technology, Japan
Bianca Zadrozny, Federal University of Fluminense, Brazil
Huimin Zhao, University of Wisconsin-Milwaukee, USA

=== Organising Committee ===

Cèsar Ferri, Technical University of Valencia, Spain (cfe...@dsic.upv.es)
Peter Flach, University of Bristol, UK (peter.fl...@bristol.ac.uk)
Nicolas Lachiche, University of Strasbourg, France 
(nicolas.lachi...@unistra.fr)


For more information visit http://www.dsic.upv.es/~flip/LMCE2014/
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[UAI] 2nd call for papers - 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

2014-04-26 Thread 2014 IEEE International Workshop on Machine Learning fo Signal Processing

2014 IEEE International Workshop on Machine Learning for Signal 
Processing (MLSP)

September 21-24, 2014  Reims, France
http://mlsp2014.conwiz.dk

CALL FOR PAPERS
The 24th MLSP workshop in the series of workshops organized by the IEEE 
Signal Processing Society MLSP Technical Committee will present the most 
recent and exciting advances in machine learning for signal processing 
through keynote talks, tutorials as well as special and regular 
single-track sessions. Prospective authors are invited to submit papers 
on relevant algorithms and applications including, but not limited to:

  - Learning theory and techniques
  - Graphical models and kernel methods
  - Data-driven adaptive systems and models
  - Pattern recognition and classification
  - Distributed, Bayesian, subspace/manifold and sparsity-aware learning
  - Multiset data analysis and multimodal data fusion
  - Perceptual signal processing in audio, image and video
  - Cognitive information processing
  - Multichannel adaptive and nonlinear signal processing
  - Applications, including: speech and audio, image and video, music, 
biomedical signals and images; communications; bioinformatics; 
biometrics, computational intelligence, genomic signals and sequences; 
social networks; games, and smart grid.



DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION
Data Analysis and Signal Processing Competition is being organized in 
conjunction with the workshop. The goal of the competition is to advance 
the current state-of-the-art in theoretical and practical aspects of 
signal processing domains. The problems are selected to reflect current 
trends, evaluate existing approaches on common benchmarks, and identify 
critical new areas of research. Winners will be announced and awards 
given at the workshop.



BEST STUDENT AWARD
The MLSP Best Student Paper Award will be granted to the best overall 
paper for which a student is the principal author and presenter. This 
author must be a registered student at the time of paper submission to 
be eligible for this award. The award will be presented during the 
conference and consists of a honorarium (to be divided equally between 
all student authors of the paper), and a certificate for each such 
author. The award will be selected by a subcommittee of the program 
committee. The selection is based on the quality, originality, and 
clarity of the submission.



PAPER SUBMISSION
Prospective authors are invited to submit a double column paper of up to 
six pages using the electronic submission procedure at 
http://mlsp2014.conwiz.dk/paper_submission.htm
Accepted papers will be published on memory sticks to be distributed at 
the workshop. The presented papers will be published in and indexed by 
IEEE Xplore.



SCHEDULE:
 - Submission of full paper:May 5, 2014
 - Notification of acceptance:June 27, 2014
 - Advance registration before:July 25, 2014
 - Camera-ready paper:July 25, 2014


ORGANIZING COMMITTEE:
  General Chair
  Mamadou Mboup
  Contact general chair at mlsp2014-ch...@conwiz.dk

  Program Chairs
  Tülay Adali
  Eric Moreau
  Contact program chairs at mlsp2014-programcha...@conwiz.dk

  Data Competition Chair
  Vince Calhoun

  Special Session Chair
  Jean-Yves Tourneret

  Publicity Chair
  Marc Van Hulle

  Web and Publication Chair
  Jan Larsen
  Kevin Guelton

  Local Arrangement Chairs
  Valeriu Vrabie
  Hassan Fenniri
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[UAI] New book: Evolutionary Algorithms for Mobile Ad Hoc Networks

2014-04-26 Thread Grégoire DANOY

Evolutionary Algorithms for Mobile Ad Hoc Networks
Bernabé Dorronsoro, Patricia Ruiz, Grégoire Danoy, Yoann Pigné, Pascal Bouvry
WILEY & IEEE Computer Society

Nature-Inspired Computing series
ISBN 978-1-118-34113-1. May 2014.
240 pp.

http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118341139,subjectCd-MA91.html


During the last decades, advances in both telecommunication and electronic 
technologies have resulted in new families of devices offering new services to 
the end user. Nowadays, smartphones, laptops, and in-car driving assistants 
that surround us, are all taking profit from these wireless advances. As a 
consequence, the mobile networks field emerged to deal with the challenges 
brought by coupling wireless technologies with mobility. It has quickly raised 
a high interest in the scientific community in the last years, leading to more 
specific domains like sensor networks, mobile ad hoc networks (MANETs), and 
vehicular networks (VANETs), among others.

These complex and self-organized mobile networks that are expected to be 
permanently around us in the near future have raised the need for developing 
and optimizing novel solutions to guarantee their reliability and efficiency, 
for instance regarding information dissemination or energy saving.

This book is focussed on the use of evolutionary algorithms (EAs) to optimize 
several such aspects in mobile networks. This is a novel research field of 
great importance for the community, since it allows to clearly improve the 
existing solutions in such volatile, autonomous, and decentralized systems. 
Four important optimization problems are identified (single or 
multi-objective), addressing information dissemination optimization, energy use 
minimization, connectivity improvement, and mobility model enhancement.

The book shows how to efficiently address these problems with different 
state-of-the-art evolutionary algorithms, to assess and compare their 
performance. To this end, a generic framework for solving optimization problems 
in mobile ad hoc networks using evolutionary algorithms is described. For a 
complete understanding of the considered domains, comprehensive introductions 
to both mobile ad hoc networks and evolutionary algorithms are also included. 
Finally, the book contains two extensive surveys on optimization problems in 
mobile networks and mobile networks simulation.

Target audience:
Researchers, practitioners and students in the fields of optimization and 
wireless networks.
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[UAI] PRUV 2014 -- new cfp

2014-04-26 Thread Marco Cerami

**
CALL FOR PAPERS
First International Workshop on Logics for Reasoning about
Preferences, Uncertainty, and Vagueness

 (PRUV 2014)

Vienna, Austria, July 23-24, 2014
http://vsl2014.at/pruv/
**

* DEADLINE EXTENDED TO MAY 15. *

PRUV 2014 is the first Workshop on Logics for Reasoning about
Preferences, Uncertainty, and Vagueness.

The aim of PRUV is to bring together people from different
communities (such as the Artificial Intelligence, Theory and the
Semantic Web community, among others), including theorists and
practitioners, working on logics for reasoning about preferences,
uncertainty, and vagueness.

Making researchers aware of and fruitfully discuss the most recent
application areas, new challenges, and the existing body of work on
logics for reasoning about preferences, uncertainty, and vagueness
is the main goal of this meeting.

PRUV 2014 is part of the Vienna Summer of Logic, a major event
hosting logic conferences and workshops (http://vsl2014.at/).
In particular, PRUV will be hosted by FLoC (http://vsl2014.at/floc/)
and associated to IJCAR (http://vsl2014.at/ijcar/).

== IMPORTANT DATES ==

- Paper submission: May 15, 2014
- Notification of acceptance: May 30, 2014
- Camera-ready submission: June 7, 2014

== TOPICS ==

PRUV welcomes submissions relating logic with preferences, uncertainty
and vagueness in the wider sense. Some logics of interest are:
- first-order logic,
- propositional logic,
- probabilistic logic,
- logic programming,
- answer set programming,
- description logics,
- modal logics,
- hybrid logics,
- defeasible logic,
- multi-valued logics,
- dynamic logic,
- temporal logics,
- agent logics.

Formalisms for handling preferences, uncertainty, and vagueness
include, but are not limited to
- probability measures,
- Bayesian networks,
- possibility measures,
- preference networks,
- CP-networks,
- rough sets,
- fuzzy set theory.

== PUBLICATION  ==

All accepted papers will be made available electronically at the
CEUR Workshop Proceedings website (http://www.CEUR-ws.org/).

After the workshop, there will be a special issue of
the IFCOLOG Journal of Logics and their Applications
(http://www.collegepublications.co.uk/journals/ifcolog/)
with selected papers from the workshop.

== SUBMISSIONS ==

Submissions must be prepared in Springer's LaTeX style llncs
(http://www.springer.com/comp/lncs/Authors.html).

There are three submission formats:

- Full papers (up to 12 pages plus references)
- Technical Communications (up to 6 pages plus references)
- System Descriptions (up to 6 pages plus references)

Submissions will be made via EasyChair:

 https://www.easychair.org/conferences/?conf=pruv2014

== DOUBLE SUBMISSIONS ==

The aim of the workshop is to bring together experts from a wide
spectrum of research areas. Thus, we accept submissions of papers
and results recently published in other venues.

== PROGRAM COMMITTEE ==

Nathalie Bertrand (Inria Rennes Bretagne Atlantique)
Fernando Bobillo (University of Zaragoza)
Felix Bou (University of Barcelona (UB))
Marco Cerami (Palacký University in Olomouc)
Simona Colucci (Università della Tuscia)
Fabio Gagliardi Cozman (Universidade de Sao Paulo)
C. Maria Keet (Department of Computer Science, University of Cape Town,
South Africa)
Angelika Kimmig (KU Leuven)
Pavel Klinov (University of Ulm)
Beata Konikowska (Institute of Computer Science Polish Academy of Sciences)
Thomas Lukasiewicz (Department of Computer Science, University of Oxford) -
chair
Maria Vanina Martinez (University of Oxford)
Rafael Peñaloza (TU Dresden) - chair
Steven Schockaert (Cardiff University)
Giorgos Stoilos (National Technical University of Athens (NTUA))
Anni-Yasmin Turhan (TU Dresden) - chair
Özgür Lütfü Özcep (Institute for Softwaresystems, Hamburg University of
Technology)
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[UAI] WiMob 2014: Third Call for Papers (* Submission Deadline Extension *)

2014-04-26 Thread Announce Announcements


*** Third Call for Papers ***
*** Submission Deadline Extension ***

The 10th IEEE International Conference on Wireless and Mobile
Computing, Networking and Communications
WiMob 2014

Golden Bay Hotel, Larnaca, Cyprus
October 8-10, 2014

http://conferences.computer.org/WiMob2014/

Deadline for Paper Submissions: June 9, 2014 (extended)

(Proceedings will be published by IEEE)


The IEEE WiMob conference is an international forum for the exchange of
experience and knowledge among researchers and developers concerned with
wireless and mobile technology. For nine years, the International IEEE WiMob
conference has provided unique opportunities for researchers to interact,
share new results, show live demonstrations, and discuss emerging directions
in Wireless Communications, Mobile Networking and Ubiquitous Computing.

IEEE WiMob 2014 will take place at Larnaca, Cyprus, between October 8 to
10th, 2014. It will be held at the Golden Bay Beach Hotel, a luxurious 5 star
hotel situated in the favored south eastern region of Cyprus at the heart of
the Bay of Larnaca.

IEEE WiMob 2014 is soliciting high quality technical papers addressing
research challenges in the areas of wireless communications, wireless
networking, mobility, nomadicity, ubiquitous computing, services and
applications. Papers should present original work validated via analysis,
simulation or experimentation. Practical experiences and Testbed trials
also are welcome.

IEEE WiMob 2014 will host three parallel symposiums, including but not limited
to the following topics:

1. Wireless Communications
Broadband Wireless Communication Systems
Signal Separation and Interference Rejection
Wireless Personal Communications
Multimedia Communications over Wireless
Advances in Satellite Communication
DSP Applications to Wireless Systems
Adaptive Antennas for Wireless Systems
Modulation and Coding
Multiple Access Techniques
Multiuser Detection
Femtocells
Channel Measurement and Characterization
Location Estimation and Tracking
OFDM and CDMA Technologies and Systems
Resource Allocation and Interference Management
MIMO Channels
Multirate and Multicarrier Communications
Link and System Capacity
Spectrum Usage and Cognitive radio systems
Cognitive and cooperative MAC
Cognitive Radio Applications and Spectrum Management

2. Wireless Networking, Mobility and Nomadicity
Mobile IP Networks
Inter-working of 2G, 3G and 4G Wireless Networks
Security, Privacy and Authentication in Mobile Environments
Cellular Systems, PCS Modeling and Configuration
Wireless Sensor Networks
Cross-layer Design and Optimization
Cross-layer security
Congestion and Admission Control
Mobility patterns, Location and Handoff Management
Design and Analysis of Wireless LAN/WAN
Wireless multicasting, broadcasting and geocasting
Wireless Sensors and Actuators/Robots networks
Energy-efficient protocols for wireless networks
Green wireless network architectures and communication protocols
Opportunistic networks
Vehicular wireless networks
Wireless Mesh networks
Delay Tolerant Networks
Integration of ad hoc networks with wireless access networks
QoS support for mobile networks
RFID networks and protocols
B3G/4G Systems, WiMAX, WLAN, WPAN
Optimization models and algorithms

3. Ubiquitous Computing, Services and Applications
Emerging Wireless/Mobile applications
System prototypes, real deployments and experimentation
Cognitive Radio applications and spectrum management
Resource and service discovery
Mobile Social Wireless Networks
Opportunistic Applications
Gaming Applications in Ubiquitous Computing Environments
Operating system and middleware support for mobile computing
Multimedia over Wireless Networks
Network Coding in wireless networks
Security, Privacy and Infrastructure for Ubiquitous Computing
Green computing in wireless networks
Smart Grid
Portable Devices and Wearable Computers
Passive, Active and Smart Tags for Ubiquitous Computing
Context and Location aware applications
Data replication and dissemination in mobile networks
Mobile Urban Sensing and Crowd-sensing
Data gathering, fusion, and dissemination in WSNs
Intelligent Transport Systems applications
Wireless communications to vehicle-to-grid applications
Wireless telemedicine and e-health services
Content distribution in wireless home environment
Service oriented architectures, service portability, P2P
Smart Cities and smart environment

Important Dates
Paper Submission Deadline: June 9, 2014 (extended)
Notification of Acceptance: July 25, 2014
Camera Ready: August 25, 2014

Organization Committees

General Chair
Abderrahim Benslimane, University of Avignon, France

General Co-Chairs
George Angelos Papadopoulos, University of Cyprus, Cyprus
Ali Miri, Ryerson University, Canada

Steering Committee Chair
Samuel Pierre, École Polytechnique de Montréal, Canada

Steering Committee
Abderrahim Benslimane, University of Avignon, France
Dovan Thanh, Telenor & Norwegian Univ. of Science& Technology, Norway
Hussein Mouftah, University of Ottawa, Can

[UAI] Deadline Extension: 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014)

2014-04-26 Thread Harris Papadopoulos


  
  
[ please distribute - apologies for multiple postings ] 

***The paper submission deadline has been extended to
May 10th***

===

3rd Workshop on Conformal Prediction and its Applications
  (CoPA 2014)

to be held in conjunction with the 
10th IFIP Conference on Artificial Intelligence
  Applications & Innovations (AIAI 2014)

Island of Rhodes, Greece, September 19 - 21, 2014

http://delab.csd.auth.gr/aiai2014/workshops.php?workshop_id=6

===

Important Dates *Extended*:
===

Full paper submission due: May 10th, 2014
Notification of acceptance: June 14th, 2014
Camera-ready paper submission: June 21st, 2014


Workshop Theme:
===

Quantifying the uncertainty of the predictions produced by
  classification and regression techniques is an important problem
  in the field of Machine Learning. Conformal Prediction is a
  recently developed framework for complementing the predictions of
  Machine Learning algorithms with reliable measures of confidence.
  The methods developed based on this framework produce
  well-calibrated confidence measures for individual examples
  without assuming anything more than that the data are generated
  independently by the same probability distribution (i.i.d.). 

Since its development the framework has been combined with
  many popular techniques, such as Support Vector Machines,
  k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and
  has been successfully applied to many challenging real world
  problems, such as the early detection of ovarian cancer, the
  classification of leukaemia subtypes, the diagnosis of acute
  abdominal pain, the assessment of stroke risk, the recognition of
  hypoxia in electroencephalograms (EEGs), the prediction of plant
  promoters, the prediction of network traffic demand, the
  estimation of effort for software projects and the backcalculation
  of non-linear pavement layer moduli. The framework has also been
  extended to additional problem settings such as semi-supervised
  learning, anomaly detection, feature selection, outlier detection,
  change detection in streams and active learning. The aim of this
  workshop is to serve as a forum for the presentation of new and
  ongoing work and the exchange of ideas between researchers on any
  aspect of Conformal Prediction and its applications. 

The workshop welcomes submissions introducing further
  developments and extensions of the Conformal Prediction framework
  and describing its application to interesting problems of any
  field.


Topics of Interest
==

Topics of interest include, but are not limited to:

* Non-conformity measures
* Modifications of the framework
* Venn prediction
* On-line compression modeling
* Extensions to additional problem settings
* Theoretical analysis of Conformal Prediction techniques
* Applications/usages of Conformal Prediction


Submission
==
Authors are invited to submit original, English-language
  research contributions or experience reports. Papers should be no
  longer than 10 pages formatted according to the well-known LNCS
  Springer style. All aspects of the submission and notification
  process will be handled online via the EasyChair Conference System
  at:

https://www.easychair.org/conferences/?conf=copa2014


Publication
===
Submitted papers will be refereed for quality, correctness,
  originality, and relevance. Notification and reviews will be
  communicated via email. Accepted papers will be presented at the
  workshop and published in the Proceedings of the main event (by
  Springer). They will also be considered for potential publication
  in the Special Issues of the Conference.


Honorary Chairs
===

Vladimir Vapnik
NEC, USA & Royal Holloway, University of London, UK

Alexei Chervonenkis
Russian Academy of Sciences, Russia & Royal Holloway,
  University of London, UK


Program Chairs
==

Harris Papadopoulos
Frederick University, Cyprus
Email: h.papadopou...@frederick.ac.cy

Alex Gammerman
Royal Holloway, University of London, UK
Email: a...@cs.rhul.ac.uk

Vladimir Vovk
Royal Holloway, University of London, UK
Email: v...@cs.rhul.ac.uk


Program Committee
=

Vineeth Balasubramanian, Arizona State University, USA
Anthony Bell

[UAI] ICTCS 2014 Call for papers

2014-04-26 Thread Andrea Formisano



[apologies for multiple posting]

===  CALL FOR PAPERS  =

   ICTCS 2014
  Fifteenth Italian Conference on Theoretical Computer Science
 Perugia, Italy, September 17-19, 2014
   http://www.dmi.unipg.it/ictcs2014

   Conference proceedings on  CEUR Workshop Proceedings Series
Post-conference selection on Theoretical Computer Science

---

ICTCS-2014, the 2014 Italian Conference on Theoretical Computer Science,
is the 15th conference of the Italian Chapter of EATCS.  It will
be held in Perugia, September 17-19 2014 at the Department of
Mathematics and Computer Science.


The scope of the meeting is fostering the cross-fertilisation of
ideas stemming from different areas of theoretical computer science.
Hence, the Italian Conference on Theoretical Computer Science
represents an occasion for meeting and exchanging ideas and for
sharing experiences between researchers.  It also provides the ideal
environment where junior researchers and PhD students can meet
senior researchers.


Contributions in any area of theoretical computer science are
warmly solicited.  Typical, but not exclusive, topics of interest
include:

  agents
  algorithms
  argumentation
  automata theory
  automated theorem proving
  complexity theory
  computational logic
  computational social choice
  concurrency
  cryptography
  distributed computing
  dynamical systems
  formal methods
  game theory
  graph theory
  knowledge representation
  languages
  model checking
  process algebras
  quantum computing
  rewriting systems
  security and trust
  semantics
  specification and verification
  systems biology
  types



The event is open to both Italian and foreign researchers,
which are welcome to submit papers and attend the Conference.


Invited speakers:
=

Rocco De Nicola. IMT - Institute for Advanced Studies, Lucca
Giuseppe Liotta. Department of Engineering, University of Perugia


Program co-chairs:
==
Stefano Bistarelli (Univ. di Perugia)
Andrea Formisano (Univ. di Perugia)


Program committee:
==

Paolo Baldan (Univ. di Padova)
Giampaolo Bella (Univ. di Catania)
Marco Bernardo (Univ. di Urbino)
Davide Bilo (Univ. di Sassari)
Stefano Bistarelli (Univ. di Perugia)
Michele Boreale (Univ. di Firenze)
Tiziana Calamoneri (Sapienza Univ. di Roma)
Antonio Caruso (Univ. del Salento)
Ferdinando Cicalese (Univ. di Salerno)
Flavio Corradini (Univ. di Camerino)
Giorgio Delzanno (Univ. di Genova)
Mariangiola Dezani (Univ. di Torino)
Eugenio Di Sciascio (Politecnico di Bari)
Agostino Dovier (Univ. di Udine)
Marco Faella (Univ. di Napoli "Federico II")
Michele Flammini (Univ. di L'Aquila)
Andrea Formisano (Univ. di Perugia)
Maurizio Gabbrielli (Univ. di Bologna)
Fabio Gadducci (Univ. di Pisa)
Raffaella Gentilini (Univ. di Perugia)
Laura Giordano (Univ. del Piemonte Orientale)
Giuseppe F. Italiano (Univ. di Roma "Tor Vergata")
Sabrina Mantaci (Univ. di Palermo)
Isabella Mastroeni (Univ. di Verona)
Manuela Montangero (Univ. di Modena e Reggio Emilia)
Maurizio Proietti (IASI-CNR)
Antonino Salibra (Univ. Ca'Foscari Venezia)
Francesco Santini (IIT-CNR, Univ. di Perugia)
Marinella Sciortino (Univ. di Palermo)
Maurice ter Beek (ISTI-CNR)



Venue:
==
Dipartimento di Matematica e Informatica Universita` degli Studi di Perugia
via Vanvitelli, 1 I-06123 Perugia, Italy



Local contacts:
===
Conference Chairs: Stefano Bistarelli & Andrea Formisano
E-mail: ictcs2...@dmi.unipg.it
Conference web-site: http://www.dmi.unipg.it/ictcs2014




Important dates:

Submission deadline: 27 May 2014
Notification of acceptance: 15 July 2014
Final version: 10 August 2014
Conference: 17-19 September 2014




Submissions:

Two types of contributions are solicited:

Communications: up to 5 pages in llncs style.
Suitable for extended abstracts of papers already appeared, or
submitted, or to be submitted, elsewhere; papers reporting on
ongoing researches on which the authors wish to get feedback
at ICTCS and possibly intended to be included in future
publications; overviews of PhD-theses, research projects, etc...

Regular papers: up to 12 pages in llncs style.
Full original papers, presenting novel results, not appeared or
submitted elsewhere.

In case of need, to ease the rewiewing process, the authors of regular
papers may add an appendix containing further material (or indicate
a web site containing longer version of the paper). In any case the
reviewers are not required to consider such furhter material in their
evaluation.


For each accepted contributi

[UAI] Advanced Statistics and Data Mining Summer School (Madrid) - Early registration deadline

2014-04-26 Thread asdm

Dear colleagues,

We would like to remind you that the early registration period for the Advanced 
Statistics and Data Mining Summer School will finish on June 2nd. The summer 
school will be held in Madrid, from June 23rd to July 4th. This year's 
programme comprises 12 courses and runs for 2 weeks. Attendees may register in 
each course independently. Extended information on course programmes, price, 
venue, accommodation and transport is available at the school's website:
http://www.dia.fi.upm.es/ASDM

Please, send this information to your colleagues, students, and whoever you 
think may find it interesting. 

Best regards,

Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Laura Anton-Sanchez.
-- School coordinators.


*** List of courses and brief description ***

* Week 1 (June 23rd - June 27th, 2014) *

1st session: 9:30 - 12:30
Course 1: Bayesian Networks (15 h)
  Basics of Bayesian networks. Inference in Bayesian networks. Learning 
Bayesian networks from data. Real applications.

Course 2: Time Series(15 h)
  Basic concepts in time series. Descriptive methods for time series. 
Linear models for time series. Extensions.

2nd session: 13:30 - 16:30
Course 3: Supervised Pattern Recognition (15 h)
  Introduction. Assessing the performance of supervised classification 
algorithms. Preprocessing. Classification techniques. Combining multiple 
classifiers. Comparing supervised classification algorithms.

Course 4: Bayesian Inference (15 h)
Introduction: Bayesian basics. Conjugate models. MCMC and other 
simulation methods. Regression and Hierarchical models. Model selection.

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
  Introduction. Training algorithms. Learning and Optimization. MLPs in 
practice. Deep Networks. 

Course 6: Feature Subset Selection (15 h)
  Introduction. Filter approaches. Wrapper methods. Embedded methods. 
Advanced topics. Practical session.


* Week 2 (June 30th - July 4th, 2014) *

1st session: 9:30 - 12:30
Course 7: Statistical Inference(15 h)
  Introduction. Some basic statistical test. Multiple testing. Introduction 
to bootstrap methods. Introduction to Robust Statistics.

Course 8: Bayesian Classifiers (15 h)
  Discrete predictors. Gaussian Bayesian networks-based classifiers. Other 
Bayesian classifiers. Bayesian classifiers for: positive and unlabeled data, 
semi-supervised learning, data streams, temporal data.

2nd session: 13:30 - 16:30
Course 9: Text Mining (15 h)
  Introduction. Fundamentals. Language Modeling. Text Classification. 
Information Extraction.

Course 10: Unsupervised Pattern Recognition (15 h)
  Introduction to clustering. Data exploration and preparation. 
Prototype-based clustering. Density-based clustering. Graph-based clustering. 
Cluster evaluation. Miscellanea. Conclusions and final advise.

3rd session: 17:00 - 20:00
Course 11: Support Vector Machines and Convex Optimization (15 h)
  Introduction. SVM models. SVM learning algorithms. Convex non 
differentiable optimization.
  
Course 12: Hidden Markov Models (15 h)
  Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden 
Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov 
Models. Unit selection and clustering. Speaker and Environment Adaptation for 
HMMs. Other applications of HMMs.
 
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[UAI] PRUV call for papers --- deadline extension

2014-04-26 Thread Thomas Lukasiewicz

**
 CALL FOR PAPERS
First International Workshop on Logics for Reasoning about
Preferences, Uncertainty, and Vagueness

  (PRUV 2014)

Vienna, Austria, July 23-24, 2014
http://vsl2014.at/pruv/
**

* DEADLINE EXTENDED TO MAY 15. *

PRUV 2014 is the first Workshop on Logics for Reasoning about
Preferences, Uncertainty, and Vagueness.

The aim of PRUV is to bring together people from different
communities (such as the Artificial Intelligence, Theory and the
Semantic Web community, among others), including theorists and
practitioners, working on logics for reasoning about preferences,
uncertainty, and vagueness.

Making researchers aware of and fruitfully discuss the most recent
application areas, new challenges, and the existing body of work on
logics for reasoning about preferences, uncertainty, and vagueness
is the main goal of this meeting.

PRUV 2014 is part of the Vienna Summer of Logic, a major event
hosting logic conferences and workshops (http://vsl2014.at/).
In particular, PRUV will be hosted by FLoC (http://vsl2014.at/floc/)
and associated to IJCAR (http://vsl2014.at/ijcar/).

== IMPORTANT DATES ==

- Paper submission: May 15, 2014
- Notification of acceptance: May 30, 2014
- Camera-ready submission: June 7, 2014

== TOPICS ==

PRUV welcomes submissions relating logic with preferences, uncertainty
and vagueness in the wider sense. Some logics of interest are:
 - first-order logic,
 - propositional logic,
 - probabilistic logic,
 - logic programming,
 - answer set programming,
 - description logics,
 - modal logics,
 - hybrid logics,
 - defeasible logic,
 - multi-valued logics,
 - dynamic logic,
 - temporal logics,
 - agent logics.

Formalisms for handling preferences, uncertainty, and vagueness
include, but are not limited to
 - probability measures,
 - Bayesian networks,
 - possibility measures,
 - preference networks,
 - CP-networks,
 - rough sets,
 - fuzzy set theory.

== PUBLICATION  ==

All accepted papers will be made available electronically at the
CEUR Workshop Proceedings website (http://www.CEUR-ws.org/).

After the workshop, there will be a special issue of
the IFCOLOG Journal of Logics and their Applications
(http://www.collegepublications.co.uk/journals/ifcolog/)
with selected papers from the workshop.

== SUBMISSIONS ==

Submissions must be prepared in Springer's LaTeX style llncs
(http://www.springer.com/comp/lncs/Authors.html).

There are three submission formats:

- Full papers (up to 12 pages plus references)
- Technical Communications (up to 6 pages plus references)
- System Descriptions (up to 6 pages plus references)

Submissions will be made via EasyChair:

  https://www.easychair.org/conferences/?conf=pruv2014

== DOUBLE SUBMISSIONS ==

The aim of the workshop is to bring together experts from a wide
spectrum of research areas. Thus, we accept submissions of papers
and results recently published in other venues.

== PROGRAM COMMITTEE ==

Nathalie Bertrand (Inria Rennes Bretagne Atlantique)
Fernando Bobillo (University of Zaragoza)
Felix Bou (University of Barcelona (UB))
Marco Cerami (Palacký University in Olomouc)
Simona Colucci (Università della Tuscia)
Fabio Gagliardi Cozman (Universidade de Sao Paulo)
C. Maria Keet (Department of Computer Science, University of Cape Town, South 
Africa)
Angelika Kimmig (KU Leuven)
Pavel Klinov (University of Ulm)
Beata Konikowska (Institute of Computer Science Polish Academy of Sciences)
Thomas Lukasiewicz (Department of Computer Science, University of Oxford) - 
chair
Maria Vanina Martinez (University of Oxford)
Rafael Peñaloza (TU Dresden) - chair
Steven Schockaert (Cardiff University)
Giorgos Stoilos (National Technical University of Athens (NTUA))
Anni-Yasmin Turhan (TU Dresden) - chair
Özgür Lütfü Özcep (Institute for Softwaresystems, Hamburg University of 
Technology)

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[UAI] Call for Papers: STAIRS 2014 - The 7th Starting AI Researcher Symposium (part of ECAI 2014)

2014-04-26 Thread Joao Leite

===

 Call for Papers
   STARIS 2014

 The 7th Starting AI Researcher Symposium

  Prague, Czech Republic
 18-19 August 2014
(part of ECAI-2014)

  http://www.ecai2014.org/stairs/

   Submission Deadline: May 15

Proceedings published by IOS Press

===

The 7th European Starting AI Researcher Symposium (STAIRS-2014)
will be held as a satellite event of the 21st European
Conference  on Artificial Intelligence (ECAI-2014) in Prague in
August 2014. STAIRS is aimed at young researchers in Europe and
beyond, particularly PhD students, but also advanced Master’s
students and postdoctoral researchers holding a PhD for less
than one year at the time of the paper submission deadline.
STAIRS offers opportunities to gain experience with submitting
to and presenting at international events with a broad
scientific scope.

Accepted papers will be presented either orally or in a poster
session. Both types of accepted papers will be collected in the
symposium proceedings, published by IOS Press.

STAIRS will feature invited talks by:
* Francesca Rossi (University of Padova, Italy)
* Michael Wooldridge (University of Oxford, UK)

TOPICS OF INTEREST

We welcome submissions in all areas of AI, ranging from
foundations to applications. Topics of interest include,
amongst others:

* autonomous agents and multiagent systems
* constraints, satisfiability, and search
* knowledge representation, reasoning, and logic
* machine learning and data mining
* natural language processing
* planning and scheduling
* robotics, sensing, and vision
* uncertainty in AI
* web and knowledge-based information systems
* multidisciplinary topics

KEY DATES

* Submission deadline: 15 May 2014
* Notification of acceptance/rejection: 10 June 2014
* Camera-ready copy due: 15 June 2014
* STAIRS-2014: 18-19 August 2014
* ECAI-2014 main conference: 20-22 August 2014

SUBMISSION

All submissions should be prepared using the IOS Paper Kit,
available from the STAIRS-2014 website and must not exceed
10 (ten) pages in length. To submit, upload your paper to
Easychair:

http://www.easychair.org/conferences/?conf=stairs2014

The principal author of the paper must be a (PhD) student or
have obtained their PhD less than one year before the
submission deadline.

SYMPOSIUM CHAIRS

Ulle Endriss (ILLC, University of Amsterdam)
Joao Leite (Universidade NOVA de Lisboa)

PROGRAM COMMITTEE (to be completed)

Natasha Alechina  (University of Nottingham)
Jose Julio Alferes  (Universidade NOVA de Lisboa)
Pietro Baroni  (University of Brescia)
Ronen Brafman  (Ben-Gurion University)
Gerhard Brewka  (Leipzig University)
Hubie Chen  (Universidad del País Vasco and Ikerbasque)
Eric De La Clergerie  (INRIA)
Michael Fink  (Vienna University of Technology)
Jorg Hoffmann  (Saarland University)
Weiru Liu  (Queen's University Belfast)
Ines Lynce  (INESC-ID/IST, University of Lisbon)
Pierre Marquis  (CRIL-CNRS and Universit d'Artois)
Nicolas Maudet  (Université Paris 6)
Hector Palacios  (Universitat Pompeu Fabra)
David Schlangen  (Bielefeld University)
Elizabeth Sklar  (University of Liverpool)
Wiebe Van Der Hoek  (University of Liverpool)
Stefan Woltran  (Vienna University of Technology)
Pinar Yolum  (Bogazici University)
Marius Zoellner  (Karlsruhe Institute of Technology)


-- 
---
Joao Leite
FCT-UNL - Universidade Nova de Lisboa,
Faculdade de Ciencias e Tecnologia,
Departamento de Informatica
e-mail: jle...@fct.unl.pt
web: http://centria.di.fct.unl.pt/~jleite
---
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[UAI] International Society for Bayesian Analysis (ISBA) World Meeting Short Courses

2014-04-26 Thread David Knowles

Dear all,

I am writing for the ISBA Continuing Education Committee, asking for
your help to please advertise and publicize the short courses at the
upcoming ISBA World Meeting in Cancun.
We still have some space left in the short courses and are
keen to get more participants interested.

Please suggest them to folks in your departments/companies who might be
interested. The list is below and (with more details) at
  http://isba2014.eventos.cimat.mx/node/160

Best,

David A. Knowles
(ISBA Continuing Education Committee)

- short courses -

Software Engineering for Statisticians (Full Day, Sunday July 13).
  Murray Stokely, Google.
Applied Bayesian Nonparametric Mixture Modeling (Full Day, Sunday July 13).
  Athanasios Kottas and Abel Rodriguez.
Spatial-temporal models in epidemiology (Full Day, Sunday July 13).
  Gavin Shaddick and Jim Zidek
ABC, methodology and genetic applications (Half Day, Monday July 14).
  Jean-Michel Marin and Christian Robert
Bayesian Analysis of Stochastic Process Models (Half Day, Monday July 14).
  David Rios Insua and Fabrizio Ruggeri and Mike Wiper

-- 
David A. Knowles,
Stanford University.
E-mail: knowle...@gmail.com
Web: http://cs.stanford.edu/~davidknowles/
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[UAI] Final CFP: AutoML Workshop @ ICML 2014 (deadline April 25)

2014-04-26 Thread Frank Hutter

FINAL CALL FOR CONTRIBUTIONS

The AutoML Workshop @ ICML 2014

Beijing, China, June 25/26, 2014

Web: 
http://icml2014.automl.org

Email: icml2...@automl.org



Important Dates:

 - Submission deadline: Friday 25 April, 2014

 - Notification of acceptance: Friday 16 May, 2014



Workshop Overview:

Machine learning has achieved considerable success, but this success
crucially relies on human machine learning experts to select appropriate
features, workflows, ML paradigms, algorithms, and algorithm
hyperparameters. Because the complexity of these tasks is often beyond
non-experts, the rapid growth of machine learning applications has created
a demand for machine learning methods that can be used easily and without
expert knowledge. We call the resulting research area that targets
progressive automation of machine learning AutoML.

AutoML aims to automate many different stages of the machine learning
process. Relevant topics include:
  - Model selection, hyper-parameter optimization, and model search
  - Representation learning and automatic feature extraction / construction
  - Reusable workflows and automatic generation of workflows
  - Meta learning and transfer learning
  - Automatic problem "ingestion" (from raw data and miscellaneous formats)
  - Feature coding/transformation to match requirements of different
learning algorithms
  - Automatically detecting and handling skewed data and/or missing values
  - Automatic leakage detection
  - Matching problems to methods/algorithms (beyond regression and
classification)
  - Automatic acquisition of new data (active learning, experimental design)
   - Automatic report writing (providing insight from the automatic data
analysis)
   - User interfaces for AutoML (e.g., “Turbo Tax for Machine Learning”)
  - Automatic inference and differentiation
  - Automatic selection of evaluation metrics
  - Automatic creation of appropriately sized and stratified train,
validation, and test sets
  - Parameterless, robust algorithms
   - Automatic algorithm selection to satisfy time/space constraints at
train- or run-time
  - Run-time wrappers to detect data shift and other causes of prediction
failure


We encourage contributions in any of these areas. We welcome 2-page
short-form submissions and 6-page long-form submissions (in either case
plus references). Submissions should be formatted using JMLR Workshop and
Proceedings format (an example LaTeX file is available on the workshop
website icml2014.automl.org). We also encourage submissions of
previously-published material that is closely related to the workshop topic
(for presentation only).

Confirmed invited speakers:

  - Dan Roth: Language designed for novice ML developers

  - Holger Hoos: Programming by Optimization

  - Yoshua Bengio: Representation learning

  - Jasper Snoek: Hyper-parameter optimization

  - Vikash Masingka: Probabilistic programming

Advisory Committee: James Bergstra, Nando de Freitas, Roman Garnett, Matt
Hoffman, Michael Osborne, Alice Zheng

Organizers: Frank Hutter, Rich Caruana, Rémi Bardenet, Misha Bilenko,
Isabelle Guyon, Balázs Kégl, and Hugo Larochelle
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[UAI] Research Positions in Planning under Uncertainty @ ANU

2014-04-26 Thread Scott Sanner


RESEARCH POSITIONS IN AUTOMATED PLANNING UNDER UNCERTAINTY


Two research fellow positions of up to two years duration are available at
the ANU, to work on the project “Robust Planning for Hybrid Systems” funded
by the Australian Research Council. The project is a collaboration between
ANU, NICTA, and KCL and involves Sylvie Thiebaux, Pascal Van Hentenryck,
Patrik Haslum, Maria Fox, Derek Long, and Scott Sanner.

Salary Package  AUD 86,286 - AUD 98,269 pa plus 17% superannuation

Application Process: see http://jobs.anu.edu.au/PositionDetail.aspx?p=3879

Closing date: 27 May 2014, C.O.B. Australian time.

The appointees will conduct research into innovative ways of integrating AI
planning and control of hybrid (discrete/continuous) systems under
exogenous uncertainty. They will develop planning systems for important and
diverse classes of hybrid planning problems, as well as new stochastic
methods to generate plans and policies that are robust to forecast
uncertainty conditions. The research is motivated by and will be applied to
significant case studies in the management of energy systems.

We are looking for outstanding PhD graduates with a track record in the
field of AI planning, ideally with an emphasis on planning in mixed
discrete-continuous domains or planning under uncertainty. Experience in
constraint programming/satisfiability, control, machine learning or
optimisation is an advantage but is not essential.

For more information, please see
http://jobs.anu.edu.au/PositionDetail.aspx?p=3879 and/or contact
sylvie.thieb...@anu.edu.au with your CV.
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[UAI] Deadline Extension: 4th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2014)