Bayesian online multi-task learning using regularization networks

Proceedings of the American Control Conference

Volumn , Issue , 2008, Pages 4517-4522

  Pillonetto, Gianluigi ^a   Dinuzzo, Francesco ^b   De Nicolao, Giuseppe ^b  

^a UNIVERSITY OF PADOVA   (Italy)

^b UNIVERSITY OF PAVIA   (Italy)

Author keywords

Bayesian estimation; Kalman filtering; Kernel methods; Machine learning; Multi task learning; Regularization

Indexed keywords

BAYESIAN NETWORKS; CHLORINE COMPOUNDS; CLUSTER ANALYSIS; COMPUTATIONAL COMPLEXITY; EDUCATION; ESTIMATION; INFORMATION ANALYSIS; INTERNET; LEARNING SYSTEMS; RANDOM VARIABLES; STANDARDS;

BAYESIAN; BAYESIAN ESTIMATION; COMPUTATIONAL SCHEMES; KALMAN FILTERING; KERNEL METHODS; LEARNING PROBLEMS; MACHINE LEARNING; MULTI-TASK; MULTI-TASK LEARNING; NUMBER OF DATA; ON-LINE LEARNING; OPTIMAL ESTIMATES; QUADRATIC LOSS; REGULARIZATION; REGULARIZATION NETWORKS; SIMULATED DATA; SUB-PROBLEMS; TASK KERNEL;

LEARNING ALGORITHMS;

EID: 52449090488     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2008.4587207     Document Type: Conference Paper

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