Apologies for multiple copies due to cross postings.
**** HIS'05 - Call for Papers ****
5th International Conference on Hybrid Intelligent Systems (HIS'05)
November 06-09, 2005
Rio de Janeiro, Brazil
Conference URL: http://his05.hybridsystem.com
Mirror Site: http://www.ica.ele.puc-rio.br/his05
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Deadline for Paper Submission: July 1st, 2005
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HIS'05 is technically co-sponsored by:
- IEEE Systems Man and Cybernetics Society
- International Fuzzy Systems Association (IFSA)
- European Neural Network Society (ENNS)
- European Society for Fuzzy Logic and Technology (EUSFLAT)
- The World Federation on Soft Computing
- Brazilian Computing Society (SBC)
- Brazilian Society for Automation (SBA)
HIS'05 is organized in cooperation with:
- IEEE- Computational Intelligence Society
Hybridization of intelligent systems is a promising research field of
computational intelligence focusing on synergistic combinations of multiple
approaches to develop the next generation of intelligent systems. A
fundamental stimulus to the investigations of Hybrid Intelligent Systems
(HIS) is the awareness that combined approaches
will be necessary if the remaining tough problems in artificial intelligence
are to be solved. Neural computing, machine learning, fuzzy logic,
evolutionary algorithms, agent-based methods, among others, have been
established and shown their strength and drawbacks.
Recently, hybrid intelligent systems are getting popular due to their
capabilities in handling several real world complexities involving
imprecision, uncertainty and vagueness.
HIS'05 builds on the success of previous HIS events: HIS'04 was held in
Kitakyushu, Japan, HIS'03 in Melbourne, Australia, HIS'02 in Santiago,
Chile, and HIS'01, the first event, in Adelaide, Australia. All events
attracted participants from over 30 countries. HIS'05 is, therefore, the
fifth International Conference that brings together researchers, developers,
practitioners, and users of soft computing, computational intelligence,
multi-agents, and several other intelligent computing techniques. The
objectives of this
international meeting are to increase the awareness of the research
community of the broad spectrum of hybrid techniques, to bring together AI
researchers from around the world to present their cutting-edge results, to
discuss the current trends in HIS research, to develop a collective vision
of future opportunities, to establish international collaborative
opportunities, and as a result to advance the state of the art of the field.
HIS'05 invites authors to submit original and unpublished work that
demonstrates current research in hybrid intelligent systems research and
their applications in science, technology, business and commerce. Submitted
papers have to be original, containing new and original
results. The assessment criteria will be heavily weighted towards
originality, potential impact and relevance to HIS'05 themes. All papers
will be peer reviewed by three independent referees of the international
program committee of HIS'05.
HIS'05 will focus on the following topics:
** Theoretical Advances in Hybrid Intelligent System Architectures
* Interactions between neural networks and fuzzy inference systems
* Hybrid learning techniques (supervised/unsupervised/reinforcement
learning)
* Artificial neural network optimization using global optimization
techniques
* Fuzzy inference system optimization using global optimization
algorithms
* Hybrid systems involving support vector machines, rough sets,
Bayesian networks, probabilistic reasoning, minimum message length, etc.
* Hybrid computing using neural networks - fuzzy systems -
evolutionary algorithms
* Hybrid optimization techniques (evolutionary algorithms, simulated
annealing, tabu search, GRASP etc.)
* Hybrid of soft computing and statistical learning techniques
* Integration with Intelligent agents (architectures, environments,
adaptation/learning and knowledge management)
* Hybrid models using inductive logic programming, logic synthesis,
grammatical inference, case-based reasoning etc.
** Hybrid Approaches and Applications
* Robotics and automation
* Biomimetic applications
* Bioinformatics
* Web intelligence
* Image and signal processing
* Adaptive systems
* Data mining
* Behavioral simulations
* Affective computing
* Soft computing for control and automation
* Multi-agent systems
* Knowledge management
* Communication and networking
* Business systems and financial engineering.
* Power engineering
We invite you to submit a:
- full paper of 6 pages, for oral presentation, A4 size, IEEE 2 columns
format, using MS Word/LaTeX
- proposal to organize a technical session
(see the Call for Events Proposals in the conference Web page for more
information).
Submitted papers have to be original, containing new results.
The proceedings of the Conference will be published by IEEE Computer Society
and will be available during the conference. It is assumed that all accepted
manuscripts will be presented at the conference. All accepted papers must be
accompanied by a full paid registration in order to appear in the
proceedings.
All full papers are to be submitted in PDF electronically via the web site.
Hard copies should be sent only if electronic submission is not possible.
* Journal Publication Opportunities
a) International Journal on Hybrid Intelligent Systems (IJHIS)
Papers addressing strong HIS theoretical developments
(based on the referee recommendations) after substantial revision may be
considered for publication in the IJHIS (http://ijhis.hybridsystem.com).
b) Applied Soft Computing
Extended versions of 10 application papers of the conference will also be
invited for a "fast track" submission for the Elsevier Science Applied Soft
Computing Journal (http://www.elsevier.com/locate/inca/621920).
c) International Journal of Knowledge Management (IJKM), World Scientific,
Singapore
Extended versions of 6 to 8 selected papers of the conference will also
be invited for submission to the IJKM
(http://www.worldscinet.com/jikm/jikm.shtml).
d) Neural Computing and Applications, Springer-Verlag London
Extended version of selected papers on Hybrid aspects of neurocomputing will
also
be invited for submission to the Neural Computing and Applications journal.
*****************************************************************
Important Dates
* Deadline for sessions/tutorial proposals: June 12th, 2005
* Deadline for Paper Submission (full paper): July 1st, 2005
* Notification of Acceptance: August 1st, 2005
* Deadline for Authors' Registration: August 19th, 2005
* Deadline for Camera-Ready Papers: August 19th, 2005
*****************************************************************
*******************************************************
Travel Grants
Travel fellowships for full time graduate students are available to help
cover conference travel and living costs. To receive a grant recipients have
to fulfill following requirements:
1. The recipient must be a student author (or co-author) of an accepted
paper, attend the conference and present the paper. Only one author per
paper will be awarded a grant.
2. Must have contributed to at least 50% of the research presented.
3. Be a student (or have been at the time of paper submission deadline) and
carry at least 50% of a normal full-time academic program as a registered
undergraduate or graduate student in a regular course of study.
Candidates have to apply for travel fellowship by submitting meaningful
documents comprising:
1. Applicants CV including name; mailing address; email address; current
student status; faculty or PhD research advisor's name, address, and email
address; relevant courses and other educational data; and (if available) a
list of research articles.
2. A letter from the listed faculty or PhD advisor on official institutional
stationery should accompany the application and summarize how the candidate
may benefit from the conference.
3. Copy of a certificate that proofs the registration as graduate student.
The application deadline for fellowship support is August 31, 2005 (date of
receipt). The original, signed documents have to be provided and send to a
nominated mailing address.
Applicants will be notified by email by September 15, 2005.
Fellowship checks amounting 500US$ will be distributed during the HIS'05
conference. The recipient must show the original certificate proving the
registration as undergraduate or graduate student.
Please send questions directly to the travel grants chair:
Kaori Yoshida (email: [EMAIL PROTECTED])
HIS05 Travel Grant Chair
*******************************************************
HIS'05 Conference Organization
Honorary Chair
Fernando Gomide, Universidade Estadual de Campinas, Brazil
General Chairs
Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil
Ajith Abraham, Chung-Ang University, Korea
Mario Köppen, Fraunhofer IPK, Berlin, Germany
Program Chairs
Nadia Nedjah, Universidade do Estado do Rio de Janeiro, Brazil
Luiza de Macedo Mourelle, Universidade do Estado do Rio de Janeiro, Brazil
Local Organizing Chairs
Alexandre Evsukoff, Universidade Federal do Rio de Janeiro, Brazil
Flavio Joaquim de Souza, Universidade do Estado do Rio de Janeiro, Brazil
Gerson Zaverucha, Universidade Federal do Rio de Janeiro, Brazil
Karla Figueiredo, Universidade do Estado do Rio de Janeiro, Brazil
Marco Aurélio Pacheco, Pontifícia Universidade Católica do Rio de Janeiro,
Brazil
Maria Luiza Velloso, Universidade do Estado do Rio de Janeiro, Brazil
Ricardo Tanscheit, Pontifícia Universidade Católica do Rio de Janeiro,
Brazil
International Steering Committee
Andre Carlos Ponce de Leon Ferreira de Carvalho, Universidade de São Paulo,
Brazil
Antony Satyadas, IBM, USA
David Corne, University of Exeter, UK
David Fogel, Natural Selection Inc., USA
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Jae Oh, Syracuse University, USA
Javier Ruiz-del-Solar, Universidad de Chile, Chile
Oscar Castillo, Tijuana Institute of Technology, Mexico
Takeshi Yamakawa, Kyushu Institute of Thecnology, Japan
Vasile Palade, University of Oxford, UK
Executive Chairs
Maria do Carmo Nicoletti, Universidade Federal de São Carlos (UFSCar),
Brazil
Estevam Rafael Hruschka Junior, Universidade Federal de São Carlos (UFSCar),
Brazil
Special Event Chairs
Karla Figueiredo, Universidade do Estado do Rio de Janeiro, Brazil
Marco Aurélio Pacheco, Pontifícia Universidade Católica do Rio de Janeiro,
Brazil
International Program Committee
Akira Asano, Hiroshima University, Japan
Aladdin Ayesh, De Montfort University, UK
Alberto Prieto, Univ. Granada, Spain
Andre Carlos Ponce de Leon Ferreira de Carvalho, Universidade de São Paulo,
Brazil Andreas Koenig, University of Kaiserslautern, Germany
Andrew Sung, New Mexico Tech, USA
Antonio de Pádua Braga, UFMG, Brazil
Aureli Soria-Frisch, Fraunhofer IPK-Berlin, Germany
Berend Jan van der Zwaag, University of Twente, The Netherlands
Bernard de Baets, Ghent University, Belgium
Bernard Grabot, LGP/ENIT, France
Bernardete Ribeiro, University of Coimbra, Portugal
Bob Mckay, University of New South Wales, USA
Bruno Apolloni, Universita degli Studi di Milano, Italy
Carlos Coello, CINVESTAV-IPN, Mexico
Carlos Henrique Costa Ribeiro, ITA, Brazil
Christian Veenhuis, Fraunhofer IPK Berlin, Germany
Costa-Branco P J, Instituto Superior Tecnico Lisboa, Portugal
Crina Grosan, University of Babes Boylai at Cluj Napoca, Romania
David Corne, University of Exeter, UK
Dong Hwa Kim, Hanbat National University, South Korea
Eiji Uchino, University of Yamaguchi, Japan
Elisa Bertino, Purdue University, USA
Emilia Barakova, Brain Science Institute RIKEN, Japan
Erkki Oja, Helsinki University of Technology, Finland
Estevam Rafael Hruschka Junior, Universidade Federal de São Carlos (UFSCar),
Brazil
Etienne Kerre, Ghent University, Belgium
Fabio Abbattista, Universita di Bari, Italy
Felipe Maia Galvão França, UFRJ, Brazil
Francisco Pereira, Universidade de Coimbra, Portugal
Frank Hoffmann, University of Dortmund, Germany
Frank Klawonn, TFH Braunschweig/Wolfenbuettel, Germany
Gary Fogel, Natural Selection, Inc., USA
Gheorghe Tecuci, George Mason University, USA
Giovanni Semeraro, Universita di Bari, Italy
Graham Williams, ANU, Canberra, Australia
Guenther Raidl, Vienna University of Technology, Austria
Hajime Nobuhara, Tokyo Institute of Technology, Japan
Henry Tirri, NRC Nokia Research Center, Finland
Hirofumi Nagashino, University of Tokushima, Japan
Hisao Ishibuchi, Osaka Prefecture University, Japan
Jacek Wachowicz, Technical University of Gdansk, Poland
Janina Jakubczyc, Wroclaw University of Economics, Poland
Janos Abonyi, University of Veszprem, Hungary
Janusz Kacprzyk, Polish Academy of Sciences, Poland
Javier Ruiz-del-Solar, Universidad de Chile, Chile
Jerzy Grzymala-Busse, University of Kansas, USA
John MacIntyre, University of Sunderland, UK
Jun Munemori, Wakayama University, Japan
Kaori Yoshida, Kyushu Institute of Technology, Japan
Katrin Franke, Fraunhofer IPK Berlin, Germany
Kazumi Nakamatsu, University of Hyogo, Japan
Krzysztof Wecel, The Poznan University of Economics, Poland
Leandro dos Santos Coelho, Pontifical Catholic University of Paraná, Brazil
Louis Vuurpijl, NICI Nijmegen, The Netherlands
Luis Magdalena, Universidad Politecnica de Madrid, Spain
Marcin Paprzycki, Oklahoma State University, USA
Maria do Carmo Nicoletti, Universidade Federal de São Carlos (UFSCar),
Brazil
Maria Ganzha, Gizycko Private Higher Educational Institute, Poland
Matjaz Gams, Jozef Stefan Institute Ljubljana, Slovenia
Mieczyslaw L. Owoc, Wroclaw University of Economics, Poland
Mika Sato-Ilic, University of Tsukuba, Japan
Miroslav Karny, Academy of Sciences of Czech Republic, Czech Republic
Nik Kasabov, Auckland University of Technology, New Zealand
Paramasivan Saratchandran, Nanyang Technological University, Singapore
Rafael Marti, Universitat de València, Spain
Rajkumar Roy, Cranfield University, UK
Rene Thomsen, Aarhus University, Denmark
Richard Weber, Universidad de Chile, Chile
Ronald R. Yager, Iona College, USA
Saman Halgamuge, The University of Melbourne, Australia
Sandra Sandri, INPE, Brazil
Sankar K. Pal, Indian Statistical Institute, India
Sebastian Lozano, Escuela Superior de Ingenieros, Spain
Seppo Ovaska, Helsinki University of Technology, Finland
Shuji Hashimoto, Waseda University, Japan
Shusaku Tsumoto, Shimane Medical University, Japan
Stefan Wermter, University of Sunderland, UK
Suliman M. Hawamdeh, University of Oklahoma, USA
Sung-Bae Cho, Yonsei University, Korea
Teresa Bernarda Ludermir, UFPE, Brazil
Tim Hendtlass, Swinburne University of Technology, Australia
Udo Seiffert, IPK Gatersleben, Germany
Uwe Zimmer, Australian National University, Australia
Vasile Palade, Oxford University, UK
Wiliam Browne, University of Reading, UK
William Langdon, University of Essex, UK
Witold Pedrycz, University of Alberta, Canada
Xiao-Zhi Gao, Helsinki University of Technology, Finland
Yanqing Zhang, Georgia State University, USA
Yaochu Jin, Honda Research Institute Europe, Germany
Yasuhiko Dote, Muroran Institute of Technology, Japan
Yoshiteru Ishida, Toyohashi Univ. of Tech., Japan
Yuehui Chen, Jinan University, China
Yuzo Hirai, University of Tsukuba, Japan
Zensho Nakao, University of the Ryukyus, Japan
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-
Estevam Rafael Hruschka Junior
Departamento de Computação
Universidade Federal de São Carlos (DC-UFSCar)
Rod. Washington Luiz, km 235
Caixa Postal (PO Box) 676
13565-905 São Carlos - SP - Brazil
phone: +55 16 3351-8608
http://www.dc.ufscar.br/~estevam
----- Original Message -----
From: "George Paliouras" <[EMAIL PROTECTED]>
To: "'Estevam Rafael Hruschka Junior'" <[EMAIL PROTECTED]>;
<uai@engr.orst.edu>
Cc: "'Dimitris Pierrakos'" <[EMAIL PROTECTED]>
Sent: Thursday, May 26, 2005 7:25 AM
Subject: RE: [UAI] Feature selection for clustering
Hello,
I think that the problem is too complex and open to expect to find a tool
that does the job. The question of what constitutes an
interesting/relevant/useful feature for clustering is hard to answer. One
approach is to go for feature extraction (dimensionality reduction) rather
than feature selection.
If you have not already done so, you could look at the following references:
R. A. Jarvis, E. A. Patrick. Clustering using a similarity measure based on
shared nearest neighbours. IEEE Trans. Comput. C-22, 1025-1034 (1973).
L. Ertoez, M. Steinbach, V.Kumar. Finding clusters of different sizes,
shapes and densities in noisy, high dimensional data. Technical Report,
2002.
T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis.
Machine Learning Journal, 42(1) 177-196, 2001.
L. Talavera, Feature selection and incremental learning of probabilistic
concept hierarchies. Proceedings of the Seventeenth International Conference
on Machine Learning, ICML2000.
http://www-stat.stanford.edu/~jhf/COSA.html
Best regards,
George
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf
Of Estevam Rafael Hruschka Junior
Sent: Wednesday, May 25, 2005 5:21 PM
To: uai@engr.orst.edu
Subject: [UAI] Feature selection for clustering
Dear all,
I'm performing a clustering task and need to reduce the amount of my dataset
features (attributes). Looking for a feature selection tool, I've only faced
packages for classification. As I do not have the class information (in my
dataset) I am not able to use them.
Do you know about any (free) feature selection software for clustering
tasks?
Thank you so much in advance.
Best regards,
Estevam.
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-
Estevam Rafael Hruschka Junior, PhD
Departamento de Computação
Universidade Federal de São Carlos (DC-UFSCar)
Rod. Washington Luiz, km 235
Caixa Postal (PO Box) 676
13565-905 São Carlos - SP - Brazil
phone: +55 16 3351-8608
http://www.dc.ufscar.br/~estevam
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