A multi-stage learning framework for intelligent system

Expert Systems with Applications

Volumn 40, Issue 9, 2013, Pages 3378-3388

  Kao, Chang Yi ^a   Fahn, Chin Shyurng ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Boosting algorithm; Human computer interaction; Pair wise ranking; Recommendation system; Speech recognition

Indexed keywords

AND FILTERS; BINARY CLASSIFICATION; BOOSTING ALGORITHM; CONVENTIONAL METHODS; CUSTOMER SERVICES; EVALUATION MEASURES; INDUSTRIAL PERSONAL COMPUTERS; INFORMATION DEVICES; LEARNING FRAMEWORKS; LEARNING TO RANK; MACHINE-LEARNING; MANAGEMENT SYSTEMS; MULTI-STAGE; MULTIPLE STAGES; OPTIMIZATION PROCEDURES; PAIR-WISE RANKING; PERSONAL ASSISTANTS; PRODUCT RECOMMENDATION SYSTEM; RANKING APPROACH; RANKING PERFORMANCE; RECOGNITION RATES; SPEAKER RECOGNITION; TWO WAYS; TYPICAL APPLICATION; USER FRIENDLY INTERFACE; VOICE RESPONSE;

CONSUMER ELECTRONICS; GESTURE RECOGNITION; HUMAN COMPUTER INTERACTION; INFORMATION TECHNOLOGY; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PERSONAL COMPUTING; RECOMMENDER SYSTEMS; SPEECH RECOGNITION;

EXPERIMENTS;

EID: 84874662802     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.12.046     Document Type: Article

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