Extended Bayesian regression models: A symbiotic application of belief networks and multilayer perceptrons for the classification of ovarian tumors

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

Volumn 2101, Issue , 2001, Pages 177-187

  Antal, Peter ^a   Fannes, Geert ^a   De Moor, Bart ^a   Vandewalle, Joos ^a   Moreau, Y ^a   Timmerman, Dirk ^b  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b UNIVERSITY HOSPITALS LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MULTILAYERS; REGRESSION ANALYSIS; STATISTICS;

BAYESIAN APPROACHES; BAYESIAN CLASSIFIER; BAYESIAN METHODOLOGY; BAYESIAN REGRESSION; DOMAIN KNOWLEDGE; PRACTICAL SOLUTIONS; STATISTICAL DATAS; UNCERTAINTY INFORMATIONS;

BAYESIAN NETWORKS;

EID: 84947446311     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48229-6_26     Document Type: Conference Paper

References (13)

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2. P. Antal, G. Fannes, H. Verrelst, B. De Moor, and J. Vandewalle, Incorporation of prior knowledge in black-box models: Comparison of transformation methods from bayesian network to multilayer perceptrons, Workshop on Fusion of Domain Knowledge with Data for Decision Support, 16th UAI Conf., 2000, pp. 42-48.
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