Probabilistic approach to the dynamic ensemble selection using measures of competence and diversity of base classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6679 LNAI, Issue PART 2, 2011, Pages 229-236

  Lysiak, Rafal ^a   Kurzynski, Marek ^a   Woloszynski, Tomasz ^a  

^a WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Classifier competence; Diversity measure; Dynamic ensemble selection

Indexed keywords

BASE CLASSIFIERS; DATA SETS; DIVERSITY MEASURE; DYNAMIC ENSEMBLE; DYNAMIC ENSEMBLE SELECTION; DYNAMIC SELECTION; MULTIPLE CLASSIFIER SYSTEMS; ON DYNAMICS; PROBABILISTIC APPROACHES; PROBABILISTIC MODELS; SELECTION SCHEME; UCI MACHINE LEARNING REPOSITORY; DYNAMIC ENSEMBLE SELECTIONS; PROBABILISTIC MODELING;

INTELLIGENT SYSTEMS; CLASSIFICATION (OF INFORMATION);

ARTIFICIAL INTELLIGENCE; INTELLIGENT SYSTEMS; LEARNING SYSTEMS;

EID: 79957888449     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21222-2_28     Document Type: Conference Paper

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