Sparse multiscale Gaussian process regression

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 1112-1119

  Walder, Christian ^a   Kwang, In Kim ^a   Schölkopf, Bernhard ^a  

^a MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; FUNCTIONS; GAUSSIAN NOISE (ELECTRONIC); MACHINE LEARNING; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; GAUSSIAN DISTRIBUTION; LEARNING SYSTEMS; ROBOT LEARNING; TRELLIS CODES;

ADDITIONAL FLEXIBILITIES; COMPUTATIONAL ADVANTAGES; COVARIANCE MATRICES; GAUSSIAN BASIS FUNCTIONS; GAUSSIAN PROCESS REGRESSION; KERNEL RIDGE REGRESSIONS; MARGINAL LIKELIHOOD; SPARSE GAUSSIAN PROCESS;

GAUSSIAN DISTRIBUTION; PROBABILITY DENSITY FUNCTION;

BASIS FUNCTIONS; COMPUTATIONAL ADVANTAGES; COVARIANCE FUNCTIONS; COVARIANCE MATRICES; FIXED NUMBERS; GAUSSIAN; GAUSSIAN BASIS FUNCTIONS; GAUSSIAN PROCESS REGRESSIONS; GAUSSIAN PROCESSES; GRADIENT-BASED; LENGTH SCALE; MARGINAL LIKELIHOODS; MULTI-SCALE; NUMBER OF DATUM; OPTIMISATION; RIDGE REGRESSIONS; SUPPORT VECTORS;

EID: 56449094193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390296     Document Type: Conference Paper

References (10)

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