Twin support vector machine with Universum data

Neural Networks

Volumn 36, Issue , 2012, Pages 112-119

  Qi, Zhiquan ^a   Tian, Yingjie ^a   Shi, Yong ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

Classification; Twin support vector machine; Universum

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; EMPIRICAL EXPERIMENTS; LABELED DATA; LOSS FUNCTIONS; PRIOR KNOWLEDGE; TWIN SUPPORT VECTOR MACHINES; UNIVERSUM;

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); COGNITIVE SYSTEMS;

SUPPORT VECTOR MACHINES;

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; DATA ANALYSIS; MACHINE LEARNING; NONLINEAR SYSTEM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TWIN SUPPORT VECTOR MACHINE; UNIVERSUM DATA;

CLASSIFICATION; COMPUTER SYSTEMS; DATABASES AS TOPIC; IMAGE PROCESSING, COMPUTER-ASSISTED; MOTION; NEURAL NETWORKS (COMPUTER); SUPPORT VECTOR MACHINES;

EID: 84867356258     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2012.09.004     Document Type: Article

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