Adaptive selection of base classifiers in one-against-all learning for large multi-labeled collections

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

Volumn 3230, Issue , 2004, Pages 1-12

  Ráez, Arturo Montejo ^a   López, Luís Alfonso Ureña ^b   Steinberger, Ralf ^c  

^a CERN   (Switzerland)

^b UNIVERSITY OF JAÉN   (Spain)

^c JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

HIGH ENERGY PHYSICS; TEXT PROCESSING;

ADAPTIVE SELECTION; AUTOMATED TEXT CATEGORIZATION; BASE CLASSIFIERS; CLASSIFICATION TASKS; COMPUTATIONAL COSTS; ONE-AGAINST-ALL APPROACH; SCIENTIFIC COMMUNITY; THRESHOLDING; UNBALANCED DISTRIBUTION;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 22944479646     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30228-5_1     Document Type: Conference Paper

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