2103 search results - page 20 / 421 » Approximate Learning of Dynamic Models |
129
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
133
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ATAL
2008
Springer
15 years 3 months ago
2008
Springer
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
99
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Recent approaches to learning structured predictors often require approximate inference for tractability; yet its effects on the learned model are unclear. Meanwhile, most learnin...
142
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ROMAN
2007
IEEE
15 years 8 months ago
2007
IEEE
— We address in this paper the problem of the autonomous online learning of a sensory-motor task, demonstrated by an operator guiding the robot. For the last decade, we have deve...
119
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ECAI
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...