515 search results - page 84 / 103 » Approximating Markov Processes by Averaging |
145
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
158
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INFOCOM
2009
IEEE
16 years 24 days ago
2009
IEEE
—This paper studies the problem of allocating network capacity through periodic auctions. Motivated primarily by a service overlay architecture, we impose the following condition...
135
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ATAL
2009
Springer
16 years 22 days ago
2009
Springer
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...
156
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ICRA
2008
IEEE
16 years 18 days ago
2008
IEEE
— Target tracking has two variants that are often studied independently with different approaches: target searching requires a robot to find a target initially not visible, and ...
169
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FOCI
2007
IEEE
16 years 15 days ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...