Online adaptive policies for ensemble classifiers

Neurocomputing

Volumn 64, Issue 1-4 SPEC. ISS., 2005, Pages 211-221

  Dimitrakakis, Christos ^a   Bengio, Sammy ^a  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

Boosting; Ensembles; Mixture of experts; Neural networks; Q learning; Reinforcement learning; Supervised learning

Indexed keywords

BENCHMARKING; DATABASE SYSTEMS; LEARNING ALGORITHMS; NEURAL NETWORKS;

ADAPTATIVE POLICY; ADAPTIVE POLICIES; ENSEMBLE ALGORITHMS; MULTIPLE BASE CLASSIFIERS;

LEARNING SYSTEMS;

AB INITIO CALCULATION; ALGORITHM; ANALYTICAL ERROR; ANALYTICAL PARAMETERS; ARTICLE; COMPUTER SIMULATION; DATA BASE; ENTROPY; INFORMATION PROCESSING; LEARNING; MENTAL TASK; NORMAL DISTRIBUTION; ONLINE SYSTEM; POLICY; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE;

EID: 15844429144     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.11.031     Document Type: Article

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