2040 search results - page 15 / 408 » Approximate Expectation Maximization |
NIPS
2008
15 years 20 days ago
2008
A series of corrections is developed for the fixed points of Expectation Propagation (EP), which is one of the most popular methods for approximate probabilistic inference. These ...
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SODA
2012
ACM
13 years 1 months ago
2012
ACM
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
CDC
2008
IEEE
15 years 5 months ago
2008
IEEE
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
KR
1992
Springer
15 years 3 months ago
1992
Springer
While the task of answering queries from an arbitrary propositional theory is intractable in general, it can typicallybe performed e ciently if the theory is Horn. This suggests t...
CCIA
2005
Springer
15 years 4 months ago
2005
Springer
— This paper proposes a high-level Reinforcement Learning (RL) control system for solving the action selection problem of an autonomous robot. Although the dominant approach, whe...