[UAI] CFP: Extended deadline 23 March. The 3rd IEEE International Conference on Cybernetics (CYBCONF-2017) and Journal Special Issues, 21-23 June 2017

[Noushin Najjari]

[Please accept our apologies if you receive multiple copies of this CFP]

** IEEE CYBCONF-2017 CFP
*

*The 3rd IEEE International Conference on Cybernetics *

*(CYBCONF-2017) *

http://cse.stfx.ca/~CybConf2017

*Exeter, England, UK, 21-23 June 2017 *

*Sponsored by*
IEEE;

IEEE Systems, Man, and Cybernetics Society (SMC).



*and supported by *

IEEE SMC Technical Committees on Cybermatics for Cyber-enabled Worlds;

IEEE SMC Technical Committees on Awareness Computing;

IEEE SMC Technical Committees on Intelligent Industrial Systems;

IEEE SMC Technical Committees on Distributed Intelligent Systems.



*** The paper submission deadline is extended to 23 March 2017 ***



INTRODUCTION
=

The biennial International Conference on Cybernetics (CYBCONF) provides a
premier international forum for researchers and practitioners to report the
latest innovations, summarize the state-of-the-art, and exchange ideas and
advances in all aspects of Cybernetics. Apart of the main track it includes
special sessions and plenary talks by invited eminent speakers.

CYBCONF-2017 is organized by University of Exeter, sponsored by IEEE
Systems, Man, and Cybernetics Society (SMC), and supported by IEEE SMC
Technical Committees on Cybermatics for Cyber-enabled Worlds, Awareness
Computing, Intelligent Industrial Systems; and Distributed Intelligent
Systems. CYBCONF-2017 will be hosted in Exeter, the capital city of Devon
and provides the county with a central base for education, medicine,
religion, commerce and culture. The city is also home to the magnificent
Exeter Cathedral, which dates back to Norman times. Exeter is also ideally
placed to base a trip to branch out visiting places such as the famous
Dartmoor National Park and the unspoilt beaches of the North and South
Devon coastlines.

Prospective authors are invited to submit their papers to CYBCONF-2017.
Accepted papers will appear in the conference proceedings, available on
IEEE Xplore and submitted to be indexed in CPCi (ISI conferences and part
of Web of Science) and Engineering Index (EI). The authors of selected best
papers will be invited post conference to extend their contributions for
special issues of prestigious journals, such as IEEE Transactions on
Cybernetics
, IEEE SMC
Magazine, Evolving Systems, and Peer-to-Peer Networking and Applications
(PPNA).





IMPORTANT DATES


· Paper Submission Deadline:   23 March 2017

· Authors Notification:  22 April 2017

· Camera-Ready Paper Due: 15 May 2017

· Early Registration Due:  15 May 2017

· Conference Date:21-23 June 2017



JOURNAL SPECIAL ISSUES

==

Distinguished papers selected from the conferences and associated
workshops, after further extensions, will be recommended for submission and
publication in the following prestigious journals or their Special Issues:

- IEEE Transactions on Cybernetics


- IEEE Systems, Man, and Cybernetics Magazine

- Evolving Systems (Springer)

- Peer-to-Peer Networking and Applications (Springer)



PAPER SUBMISSION GUIDELINE
==

All papers need to be submitted electronically through the conference
submission website ( http://cse.stfx.ca/~CybConf2017/sub/ ) with PDF
format. The materials presented in the papers should not be published or
under submission elsewhere. Each paper is limited to 6 pages (or 8 pages
with over length charge) including figures and references using IEEE
Computer Society Proceedings Manuscripts style (two columns, single-spaced,
10 fonts). You can confirm the IEEE Computer Society Proceedings Author
Guidelines at the following web page:

http://www.computer.org/web/cs-cps/

Manuscript Templates for Conference Proceedings can be found at

https://www.ieee.org/conferences_events/conferences/publishing/templates.html

Accepted papers will appear in the conference proceedings, available on
IEEE Xplore and submitted to be indexed/abstracted in CPCi (ISI conferences
and part of Web of Science) and Engineering Index. The authors of selected
best papers will be invited post conference to extend their contributions
for special issues of prestigious journals.
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[UAI] Twelfth Madrid UPM Advanced Statistics and Data Mining Summer School (June 26th - July 7th, 2017)

[asdm]

Dear colleagues,

The Technical University of Madrid (UPM) will once more organize the 'Madrid 
UPM Advanced Statistics and Data Mining' summer school. The summer school will 
be held in Boadilla del Monte, near Madrid, from June 26th to July 7th. This 
year's edition comprises 12 week-long courses (15 lecture hours each), given 
during two weeks (six courses each week). Attendees may register in each course 
independently. No restrictions, besides those imposed by timetables, apply on 
the number or choice of courses.

INOMICS has selected our summer school as one of the world's top ten summer 
schools in mathematics and statistics. You can read more at 
http://bit.ly/1TweJjj

Early registration is now *OPEN*. Extended information on course programmes, 
price, venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/ASDM

There is a 25% discount for members of Spanish AEPIA and SEIO societies.  

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

Best regards,

Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Alberto Ogbechie.
-- School coordinators.

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

* Week 1 (June 26th - June 30th, 2017) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
  Basics of Bayesian networks. Inference in Bayesian networks. Learning 
Bayesian networks from data. Real applications. Practical demonstration: GeNIe, 
Weka, Bayesia, R.

Course 2: Time Series(15 h)
  Basic concepts in time series. Linear models for time series. Time series 
clustering. Practical demonstration: R.

2nd session: 13:45-16:45
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. Practical 
demonstration: Weka. 

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

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. Practical session: Python with keras and Jupyter 
notebooks.

Course 6: 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. Practical 
session: R.


* Week 2 (July 3rd - July 7th, 2017) *

1st session: 9:45-12:45
Course 7: Statistical Inference (15 h)
  Introduction. Some basic statistical test. Multiple testing. Introduction 
to bootstrap methods. Introduction to Robust Statistics. Practical 
demonstration: R.

Course 8: Big Data with Apache Spark (15 h)
  Introduction. Spark framework and APIs. Data processing with Spark. Spark 
streaming. Machine learning with Spark MLlib. 

2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
  Information Retrieval 101. Unsupervised Text Processing. Representation 
Learning. Information Extraction. Natural Language Understanding. Practical 
session: Python, with Jupyter notebooks.

Course 10: Feature Subset Selection (15 h)
  Introduction. Filter approaches. Embedded methods. Wrapper methods. 
Additional topics. Practical session: R and Weka.  
  
3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
  Introduction. SVM models. SVM learning algorithms. Regularized learning. 
Convex optimization for regularized learning. Practical session: Python with 
scikit-learn, Jupyter notebooks.
  
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. Practical session: HTK.

If you wish to stop receiving emails regarding the Madrid UPM Advanced 
Statistics and Data Mining summer school, please reply to this email with the 
title STOP.
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[UAI] Postdoctoral research fellowship in Artificial Intelligence

[jesse hoey]

POSTDOCTORAL RESEARCH POSITION IN ARTIFICIAL INTELLIGENCE
=
The Computational Health Informatics Laboratory (CHIL) in the David R.
Cheriton School of Computer Science at the University of Waterloo seeks
highly qualified postdoctoral researchers with strong background and
interest in building intelligent interactive systems. We are particularly
interested in candidates who have interests and a strong track record in
artificial intelligence and machine learning applied to human interactive
systems, health informatics, affective computing, decision theoretic
planning, or social computing. Candidates across all areas will be
considered.  The positions are fully funded for one year, with expected
renewals up to three years.

The successful candidates must have obtained a recent Ph.D. in computer
science, cognitive science, computer engineering, mathematics, or a related
field. Candidates with a Ph.D. in biomedical engineering, medicine,
psychology, or other clinical sciences will be considered if they have a
demonstrated ability for technical (e.g. mathematical or computational)
research, or if they fit exceptionally well within the scope of the
projects below. Successful candidates will be expected to work closely with
undergraduate, Master's and Ph.D. students.  Publication of significant
research in high quality venues will be a top priority for successful
candidates.  Start dates for the position are immediate.  Successful
candidates will receive a one-year contract, with expected extensions based
on performance to (at least) current funding timelines of three years.

Applicants should email the following to Jesse Hoey (jh...@cs.uwaterloo.ca):

- a complete CV,
- a research statement (max two pages),
- country of citizenship and date of availability,
- names and contact information of three references.

Applications without all of elements above will not be considered.
Applications will be considered as they are received, and the call will
remain open until the positions are filled.

See http://www.cs.uwaterloo.ca/~jhoey/research/ for details on ongoing
projects. We are particularly interested in candidates whose work aligns
with the ACT@HOME (cs.uwaterloo.ca/~jhoey/research/act@home/), DIY-AIDE (
cs.uwaterloo.ca/~jhoey/research/diysmarthome/, an AGEWELL project, see
agewell-nce.ca), and BayesACT (bayesact.ca) projects.

-- 


Jesse Hoey

Associate Professor (Health Informatics and AI)
David R. Cheriton School of Computer Science
University of Waterloo
200 University Avenue West
Waterloo, Ontario
N2L 3G1 CANADA
tel: +15198884567x37744
email: jh...@cs.uwaterloo.ca

Follow AGE-WELL on Twitter: twitter.com/agewell_nce
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[UAI] phd position at university of copenhagen

[Jonas Peters]

Dear all,

we have another open PhD position within the research project "Causal 
inference with incomplete data".
The project is run by Niels Richard Hansen, Steffen Lauritzen and Jonas 
Peters and funded by VILLUM FONDEN, see

http://www.math.ku.dk/~richard/causality/
for more information (deadline: April 17th).

We expect applicants to have a background either in mathematics (e.g. 
statistics, probability theory, etc.), machine learning or physics. 
Successful candidates will be based at the Department for Mathematical 
Sciences at the University of Copenhagen but there are close links to 
other departments (e.g. the Department for Computer Science).


The salary amounts to 25.000 DKK/month (app. EUR 3.350) and there are 
additional 17.1% pension contribution.


Besides: Copenhagen is a beautiful and lively city.

If there are any questions, please do not hesitate to contact me.

Kind regards,
Jonas Peters.

-
Jonas Peters
Associate Professor in Statistics
Department of Mathematical Sciences, University of Copenhagen
Universitetsparken 5, 2100 Copenhagen O, Denmark
http://www.math.ku.dk/~peters/
-
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[UAI] Extended dealine: Fusion 2017: special session on belief functions

[Arnaud Martin]

*** sorry if cross-posting ***

The 20^th International Conference on Information Fusion (FUSION 2017) 
will be held in Xi’an, China at the Wyndham Hotel on *July 10–13, 2017*.



For updated information, please visit the official website:
http://www.fusion2017.org 

We propose a special session on Big data information fusion with the 
theory of belief functions.


*Description:* Big data has gained become a hotspot in both theoretical 
research and real applications in the latest 10 years due to the rapid 
expansion of the massive amount of data that is available for solving 
different tasks within many different application domains. Big data is 
so large or complex that traditional data processing applications are 
inadequate to deal with them. One significant aspect is the uncertainty 
incorporated in the Big data.


The theory of belief function is a powerful tool for uncertainty 
modeling and reasoning, which is expected to provide effective solutions 
for the Big data processing and analyses in information fusion related 
applications. Therefore, we propose to organize such a special session 
including the subtopics as follows:

- Belief function based analysis of complex networks
- Belief function based decision making
- Belief function based clustering analysis
- Belief function based pattern classification
- Belief function based feature selection/extraction
- Other topics in belief function based applications in information fusion


*Important Dates:***
- Full paper submission deadline: March 22, 2017
- Notification of acceptance: 1 May, 2017

*
**Submission:*
Authors submitting to a special session need to delay their submission 
until the special sessions are available.
SS1: Big Data Information Fusion with the Theory of Belief Functions 





*Organizers: *Arnaud Martin (France), Deqiang Han (China)

--

Pr. Arnaud MARTIN
Université de Rennes 1 / IUT de Lannion
UMR 6074 IRISA
Rue Edouard Branly BP 30219
22302 Lannion cedex, France
Phone: +(33)2.96.46.94.60



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[UAI] ICML 2017 Call for Workshop Proposals (Deadline Extended)

[Jingrui He]

ICML 2017 Call for Workshop Proposals

The International Conference on Machine Learning solicits proposals for
workshops to be held in conjunction with the ICML 2017 conference in
Sydney. The workshops will be held on Aug 10 - 11, 2017.

ICML workshops are a great opportunity for exciting and focused scientific
exchange on emerging and futuristic research topics. We welcome proposals
for both one full-day or two-day workshops. We also especially encourage
workshops that are coordinated with ICML 2017 tutorials such that both
background and state-of-the-art research naturally flow through the ICML
conference period. Note that UAI 2017 will occur during Aug 11-Aug15, 2017,
overlapping with ICML by one day (Aug 11 2017), in the same conference
venue.
Dates

   - Workshop proposal deadline: March 24 2017 5pm PT
   - Acceptance notification: April 21 2017 5pm PT
   - Workshop submissions due: May 26 2017
   - Workshop author notification: June 16 2017

Content and Format

Workshops are great forums for active research topics and for works in
progress. An ideal workshop covers a compelling selection of current and
upcoming research, and includes an impressive set of speakers and
participants from diverse backgrounds. Invited and contributed talks,
discussion via panels and attendees, identification of open problems and
poster presentations are all great components to include.
Organization

The format, style, and content of accepted workshops are under the control
of the workshop organizers and are largely autonomous from the main
conference. Each workshop day can be up to seven hours long, split into
morning and afternoon sessions. Workshop organizers are expected to manage
the workshop content, invite experts in the domain, specify the workshop
format, be present to moderate, and maintain a website for the workshop.
Workshop registration will be handled centrally by the main conference.
Note that invited speakers and workshop organizers should not expect
receiving financial support from the ICML 2017 to cover their travel,
lodging, and other types of expenses.
Submission Instructions

   - Create accounts  at
   https://2017.icml.cc  for you and all your
   organizers
   - Proposals should clearly specify the following:
   - Workshop title
   - A brief abstract describing what the workshop is about.
   - Main organizers’ emails (who should we get in touch with?)
   - The format of the workshop including a breakdown of the time allocated
   for questions, discussions, breaks, poster sessions, and panels
   - Proposed speakers
   - Bibliographic references (where can we learn more?)
   - All workshops will be one day
   - Organizer and co-organizers info and bios (who is making it happen?)
   - Tentative Website URL
   - Comments on:
  - Workshop history (is this the first edition of the workshop?)
  - Related ICML 2017 tutorials (is this workshop coordinated with
  an ICML 2017 tutorial?)
  - Funding status (is funding secured for this event?)

Detailed descriptions of last year’s workshops can be found at:
http://icml.cc/2016/?page_id=1519
and for ICML 2015 http://icml.cc/2015/?page_id=95
Submission Process

Workshop proposals should be submitted at /Workshops/workshopapplication
.  If figures, Latex or
other supplemental information are nessary for review of the application,
please create a home page for your workshop and post the supplemental files
there.  List your home page in the External URL field of the application
and note that you have figures available in the Comments field. Latex will
not necessarily be available in the online schedule, so it is recommended
to avoid them in the Title and Abstract.
Acceptance decision

Proposals will be evaluated by the workshop chairs and conference
organizers, with an eye towards selecting high-quality workshops on a
diverse set of topics that will inform and inspire the community.

Official Workshop Contact: works...@icml.cc
Anima Anandkumar  and Fei Sha 
ICML 2017 Workshop Chairs
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