An incremental bayesian approach for training multilayer perceptrons

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6352 LNCS, Issue PART 1, 2010, Pages 87-96

  Tzikas, Dimitris ^a,b   Likas, Aristidis ^a,b  

^a INSTITUTE OF COMPUTER SCIENCE   (Greece)

^b UNIVERSITY OF IOANNINA   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETERMINATION; BASIS FUNCTIONS; BAYESIAN APPROACHES; BAYESIAN METHODOLOGY; COMBINATION WEIGHTS; CROSS VALIDATION; DATA SETS; GENERALIZATION ERROR; HIDDEN LAYERS; HIDDEN UNITS; INCREMENTAL METHOD; LINEAR MODEL; MULTI LAYER PERCEPTRON; MULTI-LAYER PERCEPTRONS; NEURAL NETWORK MODEL; SPARSE BAYESIAN LEARNING; SUPERVISED LEARNING PROBLEMS;

BAYESIAN NETWORKS; CLASSIFICATION (OF INFORMATION); ELECTRIC LOADS; MULTILAYERS; NETWORK ARCHITECTURE; PATTERN RECOGNITION SYSTEMS;

NEURAL NETWORKS;

EID: 78049392572     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15819-3_12     Document Type: Conference Paper

References (6)

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