Nonstationary Gaussian process regression using point estimates of local smoothness

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

Volumn 5212 LNAI, Issue PART 2, 2008, Pages 204-219

  Plagemann, Christian ^a   Kersting, Kristian ^b   Burgard, Wolfram ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

^b FRAUNHOFER IAIS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES; ROBOT LEARNING; TRELLIS CODES;

BAYESIAN REGRESSIONS; CHALLENGING PROBLEMS; GAUSSIAN PROCESSES; MARKOV CHAIN MONTE CARLO APPROACHES; NON STATIONARIES; NONSTATIONARY COVARIANCES; OPTIMIZATION TECHNIQUES; POINT ESTIMATES; POWERFUL TOOLS;

LEARNING SYSTEMS;

EID: 56049098215     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_14     Document Type: Conference Paper

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