Predictive Linear-Gaussian models of stochastic dynamical systems

Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence, UAI 2005

Volumn , Issue , 2005, Pages 501-508

  Rudary, Matthew ^a   Singh, Satinder ^a   Wingate, David ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DYNAMICAL SYSTEMS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; KALMAN FILTERS; LINEAR CONTROL SYSTEMS; MAXIMUM PRINCIPLE; PREDICTIVE ANALYTICS; STATE SPACE METHODS; STOCHASTIC SYSTEMS; TRELLIS CODES;

CONSISTENT ESTIMATION; CONTINUOUS OBSERVATION; EXPECTATION-MAXIMIZATION ALGORITHMS; LINEAR DYNAMICAL SYSTEMS; LINEAR GAUSSIAN MODEL; PREDICTIVE STATE REPRESENTATION; STATE SPACE REPRESENTATION; STOCHASTIC DYNAMICAL SYSTEM;

STOCHASTIC MODELS;

EID: 33750693444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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