Learning to combine discriminative classifiers - Confidence based

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2010, Pages 743-751

  Lee, Chi Hoon ^a  

^a YAHOO RESEARCH   (United States)

Author keywords

Classification; Discriminative classifier; Ensemble; Logistic regression

Indexed keywords

ADABOOST; CLASSIFICATION; COMBINATION RULES; DATA SETS; DISCRIMINATIVE CLASSIFIERS; DISTRIBUTED COMPUTING ENVIRONMENT; EMPIRICAL EXPERIMENTS; ENSEMBLE; ENSEMBLE CLASSIFIERS; ENSEMBLE LEARNING; ENSEMBLE METHODS; FRAUD DETECTION; INDEPENDENT LEARNING; INDIVIDUAL CLASSIFIERS; INTENT ANALYSIS; LOGISTIC REGRESSION; MACHINE-LEARNING; MULTIPLE CLASSIFIERS; ON-MACHINES; PARAMETER LEARNING; ROBUST CLASSIFICATION; SPAM FILTERING; TEST INSTANCES; TRAINING SAMPLE; USER QUERY;

ADAPTIVE BOOSTING; COMBINES; DATA MINING; REGRESSION ANALYSIS;

CLASSIFIERS;

EID: 77956211450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835804.1835899     Document Type: Conference Paper

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