SVM-based interactive document retrieval with active learning

New Generation Computing

Volumn 26, Issue 1, 2007, Pages 49-61

  Onoda, Takashi ^a   Murata, Hiroshi ^a   Yamada, Seiji ^b  

^a CENTRAL RESEARCH INSTITUTE OF ELECTRIC POWER INDUSTRY   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

Active learning; Document retrieval; Relevance feedback; Support vector machines

Indexed keywords

CONTROL THEORY; EDUCATION; FEEDBACK; HEURISTIC METHODS; INFORMATION RETRIEVAL SYSTEMS; KETONES; LEARNING SYSTEMS; MILITARY DATA PROCESSING; VECTORS;

ACTIVE LEARNING (AL); CLASSIFICATION LEARNING; CONVENTIONAL SYSTEMS; DOCUMENT RETRIEVAL; LARGE DATA SETS; LEARNING EFFICIENCY; NEWSPAPER ARTICLES; RELEVANCE FEEDBACK (RRF); ROCCHIO; SUPPORT VECTOR MACHINES ((SVM)); SUPPORT VECTORS; SYSTEMATIC (CO);

SUPPORT VECTOR MACHINES;

EID: 47749104876     PISSN: 02883635     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00354-007-0034-4     Document Type: Article

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