582 search results - page 21 / 117 » Reinforcement learning with Gaussian processes |
171
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Publication
We present a new approach for activity modelling and anomaly detection based on non-parametric Gaussian Process (GP) models. Specifically, GP regression models are formulated to l...
144
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ECCV
2010
Springer
14 years 12 months ago
2010
Springer
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
AI
2006
Springer
15 years 5 months ago
2006
Springer
In the context of probabilistic verification, we provide a new notion of trace-equivalence divergence between pairs of Labelled Markov processes. This divergence corresponds to the...
123
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NAACL
2001
15 years 3 months ago
2001
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
126
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ICML
2004
IEEE
16 years 2 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...