86 search results - page 8 / 18 » Approximation of Gaussian process regression models after tr... |
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PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
97
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ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper introduces a new generalisation of scale-space and pyramids, which combines statistical modelling with a spatial representation. The representation uses the familiar co...
91
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
NIPS
2007
14 years 11 months ago
2007
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
JAIR
1998
14 years 9 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...