Final Call for Papers: SEAL 2014 Posted by Kay Chen Tan (eletankc@nus.edu.sg) and updated by Mengjie Zhang (mengjie.zhang@ecs.vuw.ac.nz) ********* FINAL CALL FOR PAPERS ********** THE 10TH INTERNATIONAL CONFERENCE ON SIMULATED EVOLUTION AND LEARNING (SEAL 2014) 15-18 December 2014, Dunedin, New Zealand http://seal2014.otago.ac.nz ======= New and Final Grace Period for Submissions ======= The paper submission deadline […]
Posts Tagged ‘Feature reduction for both supervised and unsupervised learning’
THE 10TH INTERNATIONAL CONFERENCE ON SIMULATED EVOLUTION AND LEARNING (SEAL 2014)
August 5th, 2014 
CI2S Enterprise Content Admin 
Posted in Congress, Country, New Zeland 
Tags: Analysis on evolutionary feature reduction methods, and embedded feature selection, Dimensionality reduction, Feature construction, Feature ranking/weighting, Feature reduction for both supervised and unsupervised learning, Feature reduction with imbalanced data, Feature subset selection, Filter, Hybrid feature selection, Multi-objective feature reduction, Real-world applications of evolutionary feature reduction, wrapper 
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