Equilibrium-based support vector machine for semisupervised classification

IEEE Transactions on Neural Networks

Volumn 18, Issue 2, 2007, Pages 578-583

  Lee, Daewon ^a   Lee, Jaewook ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Dynamical systems; Inductive learning; Kernel methods; Semisupervised learning; Support vector machines (SVMs)

Indexed keywords

COMPUTER SIMULATION; DATA PROCESSING; DYNAMICAL SYSTEMS; LEARNING ALGORITHMS; SUPERVISED LEARNING;

INDUCTIVE LEARNING; KERNEL METHOD; SEMISUPERVISED CLASSIFICATION;

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEEDBACK SYSTEM; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEEDBACK; INFORMATION STORAGE AND RETRIEVAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 34047146595     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.889495     Document Type: Article

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