Multiple Classifier Systems

Volume 2364 of the series Lecture Notes in Computer Science pp 27-41


Multiple Classification Systems in the Context of Feature Extraction and Selection

  • Šarūnas RaudysAffiliated withVilnius Gediminas Technical University

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Parallels between Feature Extraction / Selection and Multiple Classification Systems methodologies are considered. Both approaches allow the designer to introduce prior information about the pattern recognition task to be solved. However, both are heavily affected by computational difficulties and by the problem of small sample size / classifier complexity. Neither approach is capable of selecting a unique data analysis algorithm.