Multivariate discretization for Bayesian network structure learning in robot grasping

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2011, Pages 1944-1950

  Song, Dan ^a   Ek, Carl Henrik ^a   Huebner, Kai ^a   Kragic, Danica ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK STRUCTURE; CONTINUOUS DATA; DISCRETIZATION SCHEME; DISCRETIZATIONS; GAUSSIAN PROCESSES; HIGH-DIMENSIONAL; LATENT VARIABLE MODELS; MIXTURE MODEL; NONLINEAR DIMENSIONALITY REDUCTION; PROBABILISTIC MODELS; ROBOT GRASPING; STRUCTURE-LEARNING; TASK CLASSIFICATION;

PRINCIPAL COMPONENT ANALYSIS; ROBOT LEARNING; ROBOTICS;

BAYESIAN NETWORKS;

EID: 84861203032     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2011.5979666     Document Type: Conference Paper

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