BELM: Bayesian extreme learning machine

IEEE Transactions on Neural Networks

Volumn 22, Issue 3, 2011, Pages 505-509

  Soria Olivas, Emilio ^a   Gómez Sanchis, Juan ^a   Martín, José D ^a   Vila Francés, Joan ^a   Martínez, Marcelino ^a   Magdalena, José R ^a   Serrano, Antonio J ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Bayesian; extreme learning machine; multilayer perceptron; radial basis function

Indexed keywords

AUTOMATIC PRODUCTION; BAYESIAN; BAYESIAN APPROACHES; COMPUTATIONAL COSTS; CONFIDENCE INTERVAL; EXTREME LEARNING MACHINE; GENERALIZATION CAPABILITY; HIDDEN LAYERS; HIGH DIMENSIONAL SPACES; MACHINE LEARNING ALGORITHMS; MULTILAYER PERCEPTRON; NEW APPROACHES; OVERFITTING; PRIORI KNOWLEDGE; RADIAL BASIS FUNCTION; RADIAL BASIS FUNCTION NEURAL NETWORKS; REAL DATA SETS;

LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; MULTILAYERS; RADIAL BASIS FUNCTION NETWORKS;

BAYESIAN NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER SIMULATION; METHODOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 79952188498     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2010.2103956     Document Type: Article

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