515 search results - page 84 / 103 » Approximating Markov Processes by Averaging |
ICML
2008
IEEE
16 years 17 days 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...
INFOCOM
2009
IEEE
15 years 6 months 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...
ATAL
2009
Springer
15 years 6 months 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...
ICRA
2008
IEEE
15 years 6 months 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 ...
101
click to vote
FOCI
2007
IEEE
15 years 6 months 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...