Connectionists: "Ensemble Methods in Computational Intelligence" : CFP for a Special Session at WCCI 2012

[Ponnuthurai Nagaratnam Suganthan (Assoc Prof)]

Dear Connectionist Researchers,

This special session has a strong focus on artificial neural networks based ensemble classifiers as the 3rd topic in the listing below. In addition, this special session especially welcomes contributions involving artificial neural networks hybridized with fuzzy and/or evolutionary algorithms

Special Session Organizers
P. N. Suganthan, N. R. Pal, Wenjia Wang
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"Ensemble Methods in Computational Intelligence" Call for Papers

A Special Session at 2012 IEEE World Congress on Computational Intelligence
June 10 - 15, 2012, Brisbane, Australia

Ensemble learning attempts to enhance the performance of systems (clustering, classification, prediction, feature selection, search, optimization, rule extraction, etc.) by using multiple models instead of using a single model. This approach is intuitively meaningful as a single model may not always be the best for solving a complex problem while multiple models are more likely to yield results better than each of the constituent models. Although in the past, ensemble methods have been mainly studied in the context of classification and time series prediction, recently they are being used in algorithms in other scenarios such as clustering, fuzzy systems, evolutionary algorithms, dimensionality reduction and so on.

The aim of this special session is to bring together researchers and practitioners who are working in the overlapping fields of ensemble methods and computational intelligence. Papers dealing with theory, algorithms, analysis, and applications of ensemble of computational intelligence methods are sought for this special session. Topics of interest include but are not limited to:

1. CEC topics:
Ensemble of evolutionary algorithms
Parameter and operator ensembles for evolutionary algorithms
Hyper-heuristics
Portfolio of algorithms and multi-method search
Ensemble of evolutionary algorithms for optimization scenarios such as multi-objective, combinatorial, constrained, etc.
Hybridization of evolutionary algorithms with other search methods & ensemble methods

2. Fuzz-IEEE Topics:
Fuzzy ensemble clustering
Fuzzy ensemble classifiers and fuzzy ensemble predictors
Fuzzy ensemble feature selection/dimensionality reduction
Aggregation operators for fuzzy ensemble methods
Rough Set based ensemble clustering and classification
Type-2 Fuzzy ensemble clustering and classification

3. IJCNN Topics:
Ensemble methods such as boosting, bagging, random forests, multiple classifier systems, ensemble neural networks, mixture of experts, multiple kernels, etc.
Ensemble methods for regression, classification, clustering, ranking, feature selection, etc.
Issues such as selection of constituent models, fusion and diversity of models in an ensemble, etc.

4. Hybridization of neuro-fuzzy-evolutionary ensemble systems

5. Applications of ensemble of computational intelligence methods in any field


Paper Submission:
Manuscripts should be prepared according to the standard format and page limit of regular papers specified in WCCI 2012 and submitted through the web link at WCCI 2012. Please select "Sxxx: Ensemble Methods in Computational Intelligence" as the main research topic when submitting your manuscripts.

Special session papers will be treated in the same way as regular papers and included in the conference proceedings.

Important Dates:
For important dates such as Paper Submission deadline, Decision Notification, Final Camera-Ready Submission / Conference Registration, etc., please refer to WCCI 2012 web pages.


Special Session Organizers:
P. N. Suganthan, Nanyang Technological University, Singapore, epnsugan at ntu.edu.sg
N. R. Pal, Indian Statistical Institute (ISI), Kolkatta, India, nikhil at isical.ac.in
Wenjia Wang, University of East Anglia (UEA), UK,  Wenjia.Wang at uea.ac.uk


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