Structure learning on large scale common sense statistical models of human state

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2008, Pages 1389-1395

  Pentney, William ^a   Philipose, Matthai ^b   Bilmes, Jeff ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMON SENSES; DAILY LIVES; DATA MINING TECHNIQUES; DO-MAINS; ENVIRONMENTAL SENSORS; GRAPHICAL MODELS; HUMAN LIVES; LABELED DATUMS; PRIOR MODELS; PROBABILISTIC MACHINES; PROBABILISTIC MODELS; STATE PREDICTIONS; STATISTICAL MODELS; STRUCTURE LEARNINGS;

ARTIFICIAL INTELLIGENCE; BIONICS; DATA MINING; EDUCATION; GRAPHIC METHODS; INFORMATION MANAGEMENT; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY;

MATHEMATICAL MODELS;

EID: 57749091416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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