The contrast features selection with empirical data

DOI10.1134/S0005117916120109zbMath1357.93106MaRDI QIDQ517347

V. V. Tsurko, Anatoli I. Michalski

Publication date: 23 March 2017

Published in: Automation and Remote Control (Search for Journal in Brave)

zbMATH Keywords

optimization problemmachine learningaverage risk functional

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Pattern recognition, speech recognition (68T10) Optimal stochastic control (93E20)

Related Items (3)

Classification algorithm based on pairwise comparison of features ⋮ Data modeling for the analysis of health risks and human longevity ⋮ Feature selection for classification through population random search with memory

Uses Software

• UCI-ml

Cites Work

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• Interpreting Kullback--Leibler divergence with the Neyman-Pearson Lemma
• Selection of relevant features and examples in machine learning
• Independent component analysis, a new concept?
• Principal component analysis.
• On Information and Sufficiency

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