Sparse online model learning for robot control with support vector regression

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 3121-3126

  Nguyen Tuong, Duy ^a   Schölkopf, Bernhard ^a   Peters, Jan ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITIVE LEARNING; COMPUTATIONAL DEMANDS; GAUSSIAN PROCESS REGRESSION; LOCALLY WEIGHTED PROJECTION REGRESSIONS; MACHINE LEARNING METHODS; MACHINE LEARNING TECHNIQUES; MEASURED DATA; OFF-LINE APPLICATIONS; ONLINE LEARNING; ONLINE MODELS; REGRESSION TECHNIQUES; ROBOT CONTROLS; SPARSIFICATION; STATE SPACE; SUPPORT VECTOR REGRESSIONS; TRAINING DATA;

INTELLIGENT ROBOTS; LEARNING ALGORITHMS; LEARNING SYSTEMS;

REGRESSION ANALYSIS;

EID: 76249092014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354609     Document Type: Conference Paper

References (15)

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