2103 search results - page 151 / 421 » Approximate Learning of Dynamic Models |
142
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ICRA
2007
IEEE
15 years 11 months ago
2007
IEEE
— In this paper, we address the issues of compliant control of a robot under contact constraints with a goal of using joint space based pattern generators as movement primitives,...
147
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IJRR
2006
15 years 5 months ago
2006
Future space applications will require robotic systems to assemble, inspect, and maintain large space structures in orbit. For effective planning and control, robots will need to ...
140
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JMLR
2002
15 years 4 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
135
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SODA
2001
ACM
15 years 6 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
162
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INTERSPEECH
2010
14 years 11 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...