Function factorization using warped Gaussian processes

Proceedings of the 26th International Conference On Machine Learning, ICML 2009

Volumn , Issue , 2009, Pages 921-928

  Schmidt, Mikkel N ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLICATED FUNCTIONS; DIMENSIONAL SUBSPACE; FOOD SCIENCE; GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESSES; HIGH DIMENSIONAL SPACES; INTERACTION TERM; MARKOV CHAIN MONTE CARLO; MATRIX; NEW APPROACHES; NON-LINEAR REGRESSION; NON-PARAMETRIC BAYESIAN; NONLINEAR FUNCTIONS; OUTER PRODUCT; OUTPUT VARIABLES; PARAFAC; PREDICTIVE PERFORMANCE; SUM OF PRODUCTS; TENSOR FACTORIZATION;

BAYESIAN NETWORKS; FUNCTIONS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES; ROBOT LEARNING; TENSORS; WEAVING;

FACTORIZATION;

EID: 71149094259     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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