Discretizing continuous attributes in AdaBoost for text categorization

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

Volumn 2633, Issue , 2003, Pages 320-334

  Nardiello, Pio ^a   Sebastiani, Fabrizio ^b   Sperduti, Alessandro ^c  

^a MercurioWeb SNC   (Italy)

^b ISTI CNR   (Italy)

^c UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; BINS; CLASSIFICATION (OF INFORMATION); DISCRETE EVENT SIMULATION; INFORMATION RETRIEVAL; TEXT PROCESSING;

ADABOOST ALGORITHM; BINARY REPRESENTATIONS; BINARY VECTORS; CONTINUOUS ATTRIBUTE; ENTROPY-BASED DISCRETIZATION METHODS; REUTERS-21578; TEXT CATEGORIZATION; TEXT CLASSIFICATION;

ALGORITHMS;

EID: 33644485800     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36618-0_23     Document Type: Article

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