نتایج جستجو برای: ensemble feature selection
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In this contribution to INTERSPEECH 2010 Paralinguistic Challenge we explore the capabilities of decision level fusion and ensemble based techniques for classification tasks on the provided AGENDER corpus. Ensemble members are generated by providing multiple feature sets generated by feature selection, and novel fusion methods (developed in order to give special support to under-represented cla...
The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the process of gene selection and classification. Testament to that is random forest which combines random decision trees with bagging to improve overall f...
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