566 search results - page 20 / 114 » Nonlinear Predictive Control with a Gaussian Process Model |
136
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IROS
2009
IEEE
15 years 8 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
121
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ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
100
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NECO
2002
15 years 1 months ago
2002
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
106
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CDC
2009
IEEE
15 years 2 months ago
2009
IEEE
This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box
108
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...