SIM-ELM: Connecting the ELM model with similarity-function learning

Neural Networks

Volumn 74, Issue , 2016, Pages 22-34

  Gastaldo, Paolo ^a   Bisio, Federica ^a   Decherchi, Sergio ^b   Zunino, Rodolfo ^a  

^a UNIVERSITY OF GENOA   (Italy)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Extreme learning machine; Randomization in learning; Similarity functions; Supervised learning

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; RANDOM PROCESSES; SUPERVISED LEARNING;

CLASSIFICATION ACCURACY; EXTREME LEARNING MACHINE; INTEGRATED APPROACH; LEARNING ABILITIES; LEARNING FRAMEWORKS; LINEAR SEPARATORS; RANDOMIZATION IN LEARNING; SIMILARITY FUNCTIONS;

LEARNING ALGORITHMS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; FACTUAL DATABASE; HEART DISEASES; HUMAN; IMAGE PROCESSING; MACHINE LEARNING; RANDOMIZATION; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; DATABASES, FACTUAL; HEART DISEASES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LINEAR MODELS; MACHINE LEARNING; NEURAL NETWORKS (COMPUTER); RANDOM ALLOCATION; REPRODUCIBILITY OF RESULTS;

EID: 84947976021     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2015.10.011     Document Type: Article

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