Building high performant classifiers by integrating bayesian learning, mutual information and committee techniques - A case study in time series prediction

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

Volumn 1327, Issue , 1997, Pages 1023-1028

  Ragg, Thomas ^a   Gutjahr, Steffen ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; ELECTRONIC TRADING; FORECASTING; HEURISTIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; TIME SERIES;

BAYESIAN LEARNING; CONVENTIONAL APPROACH; FRANKFURT , GERMANY; INPUT-OUTPUT RELATIONS; INTEGRATED APPROACH; MUTUAL INFORMATIONS; PERFORMANCE OF CLASSIFIER; TIME SERIES PREDICTION;

CLASSIFICATION (OF INFORMATION);

EID: 84956663327     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0020287     Document Type: Conference Paper

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