A new framework for machine learning

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

Volumn 5050 LNCS, Issue , 2008, Pages 1-24

  Bishop, Christopher M ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; EDUCATION; GRAPHIC METHODS; INFERENCE ENGINES; INTELLIGENT CONTROL; LEARNING SYSTEMS; MESSAGE PASSING; PROBABILITY DISTRIBUTIONS; ROBOT LEARNING;

BAYESIAN; COMPUTATIONAL INTELLIGENCE; EFFICIENT SOLUTIONS; EXPECTATION PROPAGATION; GRAPHICAL MODELS; INFERENCE ALGORITHMS; LEARNING PROBLEMS; MACHINE-LEARNING; MESSAGE-PASSING ALGORITHMS; REAL-WORLD APPLICATIONS; RESEARCH FRONTIERS; VARIATIONAL BAYES;

LEARNING ALGORITHMS;

EID: 46049112055     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68860-0_1     Document Type: Conference Paper

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