25 天前 - … utilizes a variant of Grey Wolf Optimiser as a wrapper-based feature selection
method, … This is an example of an ensemble learning method used for classification, which …

40 天前 - … This book series features volumes composed of selected contributions from workshops
and conferences in all areas of current research in mathematics and statistics, including …

60 天前 - … of the proposed method and machine learning algorithms, … Initially, a Binary
variant of the Chaos-based Olympiad … -based, unbalanced learning-based, feature selection-…

156 天前 - … method, we analyze two alternative versions of MARGOT, which include feature
selection techniques … Along this research line, we propose a variant of MARGOT, referred to as …

205 天前 - … L that corresponds to limited variation of the function values at limited variation of the
… also plan to use machine learning methods to separate the variables of the problem being …

224 天前 - … Results: The study utilized ML techniques to identify potential genetic features in
copy number variation and RNAseq to classify PGC and DGC within the TCGA-STAD dataset. …

226 天前 - … the local optima problem in the WOA for feature selection in SFP by introducing
the truncation selection method. Building on recent advancements in WOA variants [5], this …

226 天前 - … a dimensionality problem due to the abundance of features (metrics). Feature selection
(FS… the proposed approach outperforms the original WOA and other variants of the WOA. …

271 天前 - … We would like to thank the Program Committee members and external reviewers
for volunteering their time to review and discuss symposium papers. We would like to extend …

311 天前 - … Soft computing represents a collection or set of computational techniques in machine
learning, computer science, and some engineering disciplines, which investigate, simulate…