Hybrid decision tree architecture utilizing local SVMs for multi-label classification

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

Volumn 7209 LNAI, Issue PART 2, 2012, Pages 1-12

  Madjarov, Gjorgji ^a   Gjorgjevikj, Dejan ^a  

^a SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

Author keywords

hybrid architecture; multi label classification

Indexed keywords

BINARY CLASSIFICATION PROBLEMS; BINARY SVM; HIGH DIMENSIONALITY; HYBRID APPROACH; HYBRID ARCHITECTURES; INTEGRATED DECISION; LABEL SPACE; LARGE-SCALE PROBLEM; MACHINE-LEARNING; MULTI-LABEL; PREDICTIVE PERFORMANCE; PROTEIN FUNCTIONS; REAL-WORLD DATASETS; SEMANTIC ANNOTATIONS; SVM-BASED CLASSIFIERS; TEXT CATEGORIZATION;

DATA PROCESSING; FORECASTING; INTELLIGENT SYSTEMS; SEMANTICS; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

DECISION TREES;

EID: 84858821575     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28931-6_1     Document Type: Conference Paper

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