Robust activation function and its application: Semi-supervised kernel extreme learning method

Neurocomputing

Volumn 144, Issue , 2014, Pages 318-328

  Liu, Shenglan ^a   Feng, Lin ^a   Xiao, Yao ^a   Wang, Huibing ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Extreme Learning Machine; Kernel method; Robust activation function; Semi supervised classification

Indexed keywords

ALGORITHMS; DATA MINING; KNOWLEDGE ACQUISITION; PATTERN RECOGNITION; STATISTICS; SUPERVISED LEARNING;

ACTIVATION FUNCTIONS; CLASSIFICATION ALGORITHM; CLASSIFICATION RATES; EXTREME LEARNING MACHINE; KERNEL METHODS; NEURAL NETWORK LEARNING ALGORITHM; SEMI-SUPERVISED CLASSIFICATION; SEMI-SUPERVISED LEARNING;

CHEMICAL ACTIVATION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; EXTREME LEARNING MACHINE; IMAGE PROCESSING; KERNEL METHOD; LEARNING ALGORITHM; MACHINE LEARNING; PRIORITY JOURNAL; ROBUST ACTIVATION FUNCTION; SEMI SUPERVISED LEARNING;

EID: 84906068456     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.04.041     Document Type: Article

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