428 search results - page 5 / 86 » Preference learning with Gaussian processes |
98
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
139
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NIPS
2007
15 years 4 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
120
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ESSMAC
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
132
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
133
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We propose an analytic moment-based filter for nonlinear stochastic dynamic systems modeled by Gaussian processes. Exact expressions for the expected value and the covariance matr...