Boosting with incomplete information

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 368-375

  Haffari, Gholamreza ^a   Wang, Yang ^a   Wang, Shaojun ^b   Mori, Greg ^a   Jiao, Feng ^c  

^a SIMON FRASER UNIVERSITY   (Canada)

^b WRIGHT STATE UNIVERSITY   (United States)

^c YAHOO INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MACHINE LEARNING; NATURAL LANGUAGE PROCESSING SYSTEMS; OBJECT RECOGNITION; VISUAL LANGUAGES; COMPUTATIONAL LINGUISTICS; COMPUTER VISION; EDUCATION; FUNCTIONS; IMAGE PROCESSING; LEARNING SYSTEMS; PROBABILITY DENSITY FUNCTION; ROBOT LEARNING;

AUXILIARY FUNCTIONS; COMPLETE INFORMATION; INCOMPLETE INFORMATION; MACHINE LEARNING PROBLEM; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; OPTIMIZATION PROBLEMS; VISUAL OBJECT RECOGNITION;

LEARNING ALGORITHMS;

AUXILIARY FUNCTIONS; BOOSTING APPROACHES; COMPLETE INFORMATIONS; HIDDEN VARIABLES; INCOMPLETE INFORMATIONS; INPUT FEATURES; LABELED DATUM; LOSS FUNCTIONS; MACHINE LEARNING PROBLEMS; MISSING INFORMATIONS; NAMED ENTITY RECOGNITION; NATURAL LANGUAGE PROCESSING; OPTIMIZATION PROBLEMS; PRIMAL PROBLEMS; REAL-WORLD; REAL-WORLD PROBLEMS; VISUAL OBJECT RECOGNITION;

EID: 56449090322     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390203     Document Type: Conference Paper

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