Dual layer voting method for efficient multi-label classification

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

Volumn 6669 LNCS, Issue , 2011, Pages 232-239

  Madjarov, Gjorgji ^a,b   Gjorgjevikj, Dejan ^a   Džeroski, Sašo ^b  

^a SS CYRIL AND METHODIUS UNIVERSITY   (Macedonia)

^b JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

calibrated label ranking; calibration label; Multi label classification; voting strategy

Indexed keywords

BINARY CLASSIFIERS; CALIBRATED LABEL RANKING; CONCURRENT ALGORITHMS; DECOMPOSITION STRATEGY; DUAL LAYER; MAJORITY VOTING; MULTI-CLASS; MULTI-LABEL; PREDICTION PERFORMANCE; QUADRATIC NUMBER; RANKING METHODS; REAL-WORLD DATASETS; VOTING METHOD; VOTING STRATEGY; WEIGHTED VOTING; LABEL RANKINGS; MULTI LABEL CLASSIFICATION; PROBLEM TRANSFORMATIONS; VOTING STRATEGIES;

ALGORITHMS; DATA PROCESSING; IMAGE ANALYSIS; CALIBRATION; PATTERN RECOGNITION;

PATTERN RECOGNITION; CLASSIFICATION (OF INFORMATION);

EID: 79959921825     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21257-4_29     Document Type: Conference Paper

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