Computationally efficient Bayesian learning of gaussian process state space models

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016

Volumn , Issue , 2016, Pages 213-221

  Svensson, Andreas ^a   Solin, Arno ^b   Särkkä, Simo ^b   Schön, Thomas B ^a  

^a UPPSALA UNIVERSITY   (Sweden)

^b AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL EFFICIENCY; EIGENVALUES AND EIGENFUNCTIONS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); STATE SPACE METHODS;

BAYESIAN LEARNING; COMPETITIVE PERFORMANCE; COMPUTATIONALLY EFFICIENT; CONVENTIONAL SYSTEMS; COVARIANCE STRUCTURES; GAUSSIAN PROCESSES; LEARNING METHODS; STATE - SPACE MODELS;

LEARNING SYSTEMS;

EID: 85057218933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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