Statistical asymptotic theory of active learning

Annals of the Institute of Statistical Mathematics

Volumn 54, Issue 3, 2002, Pages 459-475

  Kanamori, Takafumi ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Active learning; Kullback Leibler divergence; Optimal experimental design; Risk

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; RISK ASSESSMENT; SAMPLING; STATISTICAL METHODS;

ACTIVE LEARNING; KULLBACK-LEIBLER DIVERGENCE; OPTIMAL EXPERIMENTAL DESIGN; STATISTICAL ASYMPTOTIC THEORY; STATISTICAL LEARNING;

ASYMPTOTIC STABILITY;

EID: 12244310470     PISSN: 00203157     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1022446624428     Document Type: Article

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