State-space inference and learning with Gaussian processes

Journal of Machine Learning Research

Volumn 9, Issue , 2010, Pages 868-875

  Turner, Ryan ^a   Deisenroth, Marc Peter ^a,b   Rasmussen, Carl Edward ^a,c  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b University of Washington   (United States)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMICS MODELS; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN PROCESSES; GENERAL METHODOLOGIES; NON-PARAMETRIC; NONLINEAR STATE SPACE MODELS; STATE-SPACE; UNSOLVED PROBLEMS;

ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84862287145     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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