2354 search results - page 329 / 471 » Randomness, Stochasticity and Approximations |
176
Voted
TVCG
2008
15 years 6 months ago
2008
We present a practical approach to generate stochastic anisotropic samples with Poisson-disk characteristic over a two-dimensional domain. In contrast to isotropic samples, we unde...
216
Voted
JMLR
2010
15 years 27 days ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
163
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CORR
2012
Springer
14 years 1 months ago
2012
Springer
In this paper we consider the MAX-WEIGHT protocol for routing and scheduling in wireless networks under an adversarial model. This protocol has received a significant amount of a...
197
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
151
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...