[alife] 2nd CFP Special Session on Evolutionary Multiobjective Machine Learning at HAIS'09

Ricardo Aler aler at inf.uc3m.es
Tue Jan 20 02:56:31 PST 2009


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2nd Call for Papers for the
Special Session on Evolutionary Multi-objective Machine Learning
at Hybrid Artificial Ingelligent Systems (HAIS'09)
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URLs:

    Special Session Web Page: http://eva.evannai.inf.uc3m.es/?q=node/223
    Conference Web Page: http://gicap.ubu.es/hais2009/main/home.shtml

Dates

Submission deadline extended to 4th February, 2009
Notification of provisional acceptance: 27th February, 2009
Submission of final papers: 16th March, 2009
Early registration (special rates): 16th March, 2009
HAIS 2009 Conference: 10 th-12th June, 2009

Description:

Many current research works have combined the global search abilities
of Evolutionary Computation with Machine Learning algorithms. Most of
these hybrid approaches use mono-objective fitness functions. However,
many issues in Machine Learning are multi-objective in nature. For
instance, in feature selection, the minimization of the number of
attributes and the maximization of accuracy are conflicting goals.
Also, new powerful multi-objective optimization algotithms have been
developed. That is why recently, multi-objective approaches have been
applied to Machine Learning problems such as: improving the
generalization capabilities of learning algorithms, generating diverse
classifiers for building ensembles, reducing the complexity of models
for improving interpretability, multi-objective-based feature
selection, clustering, etc. This special session welcomes articles on
advances on evolutionary multi-objective-based Machine Learning.
Papers comparing and studying the advantages and disadvantages of the
multi-objective versus the mono-objective approach are also welcome.

Topics include but are not limited to:

Evolutionary multi-objective techniques for improving the
generalization capabilities of machine learning algorithms
Evolutionary multi-objective techniques for improving interpretability of models
Evolutionary multi-objective feature selection
Evolutionary multi-objective ensemble generation
Empirical and/or theoretical comparisons between evolutionary
mono-objective and multi-objective machine learning techniques
Multi-objective Genetic Programming
New evolutionary multi-objective algorithms speciallized in machine learning
Applications of evolutionary multi-objective learning

 Co-Chairs at EVANNAI, Computer Science Department, Universidad Carlos
III de Madrid

Ricardo Aler (aler at inf.uc3m.es)
Inés M. Galván (igalvan at inf.uc3m.es)
José M. Valls (jvalls at inf.uc3m.es)

Url: http://eva.evannai.inf.uc3m.es/

Submission:

For paper submission and other details, please consult the special
session web page:

http://eva.evannai.inf.uc3m.es/?q=node/223



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