A Bayesian learning approach to linear system identification with missing data

Proceedings of the IEEE Conference on Decision and Control

Volumn , Issue , 2009, Pages 4698-4703

  Pillonetto, Gianluigi ^a   Chiuso, Alessandro ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Gaussian processes; Kernel based regularization; Linear system identification; Missing data

Indexed keywords

LINEAR SYSTEMS;

GAUSSIAN PROCESSES; IDENTIFICATION PROCEDURE; KERNEL-BASED REGULARIZATION; MISSING DATA; NONPARAMETRIC APPROACHES; PREDICTION ERROR METHOD; PREDICTIVE CAPABILITIES; PREDICTOR COEFFICIENTS;

RELIGIOUS BUILDINGS;

EID: 77950801437     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2009.5400833     Document Type: Conference Paper

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