Probabilistic generative ranking method based on multi-support vector domain description

Information Sciences

Volumn 247, Issue , 2013, Pages 144-153

  Jung, Kyu Hwan ^a   Lee, Jaewook ^b  

^a SK Planet ^*  (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Classification; Information retrieval; Kernel method; Learning to rank; Support vector domain description; Support vector machines

Indexed keywords

KERNEL METHODS; LARGE-SCALE DATASETS; LEARNING TO RANK; MACHINE LEARNING PROBLEM; POSTERIOR PROBABILITY; RANKING SUPPORT VECTOR MACHINES; STATE-OF-THE-ART PERFORMANCE; SUPPORT VECTOR DOMAIN DESCRIPTION;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; SOFTWARE ENGINEERING;

SUPPORT VECTOR MACHINES;

EID: 84880922383     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2013.05.001     Document Type: Article

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