Multiple kernel extreme learning machine

Neurocomputing

Volumn 149, Issue Part A, 2015, Pages 253-264

  Liu, Xinwang ^a   Wang, Lei ^b   Huang, Guang Bin ^c   Zhang, Jian ^d   Yin, Jianping ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b UNIVERSITY OF WOLLONGONG   (Australia)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^d UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Extreme learning machine; Multiple kernel learning; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; EFFICIENCY; KNOWLEDGE ACQUISITION; NEURODEGENERATIVE DISEASES; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; EXTREME LEARNING MACHINE; MINIMUM ENCLOSING BALL; MULTI-CLASS LEARNING; MULTIPLE HETEROGENEOUS DATA SOURCE; MULTIPLE KERNEL LEARNING; OPTIMIZATION ALGORITHMS;

LEARNING SYSTEMS;

ACCURACY; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BRAIN REGION; CALCULATION; CONTROLLED STUDY; GRAY MATTER; HIPPOCAMPUS; KERNEL METHOD; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MILD COGNITIVE IMPAIRMENT; PREDICTION; PROCESS OPTIMIZATION; PROTEIN FOLDING; SUPPORT VECTOR MACHINE; VALIDITY;

EID: 84922015329     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.09.072     Document Type: Article

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