1601 search results - page 18 / 321 » Learning Gaussian processes from multiple tasks |
145
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AIIA
2007
Springer
15 years 9 months ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
140
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PCI
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
137
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IROS
2008
IEEE
15 years 9 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
116
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
Whereas lecturing is the most widely used mode of instruction, we have explored small-group learning projects to make signal processing more appealing at the University and in Eng...
135
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ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...