5138 search results - page 505 / 1028 » Randomized Algorithms for 3-SAT |
187
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JMLR
2006
15 years 6 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
171
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TALG
2010
15 years 5 months ago
2010
We present two new algorithms for finding optimal strategies for discounted, infinite-horizon, Deterministic Markov Decision Processes (DMDP). The first one is an adaptation of...
187
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SAC
2011
ACM
15 years 1 months ago
2011
ACM
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
251
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
187
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IPPS
2006
IEEE
16 years 29 days ago
2006
IEEE
DHT networks based on consistent hashing functions have an inherent load uneven distribution problem. The objective of DHT load balancing is to balance the workload of the network...