1601 search results - page 23 / 321 » Learning Gaussian processes from multiple tasks |
116
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NIPS
2003
15 years 4 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
116
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ICASSP
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper addresses the problem of state estimation in the case where the prior distribution of the states is not perfectly known but instead is parameterized by some unknown par...
118
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ICML
1997
IEEE
16 years 3 months ago
1997
IEEE
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
123
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ICRA
2002
IEEE
15 years 8 months ago
2002
IEEE
This paper describes a new approach on how to teach a robot everyday manipulation tasks under the “Learning from Observation” framework. Most of the approaches so far assume t...
142
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INTERSPEECH
2010
14 years 10 months ago
2010
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...