1474 search results - page 155 / 295 » Using Machine Learning to Focus Iterative Optimization |
155
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ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
143
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DMSN
2010
ACM
15 years 1 months ago
2010
ACM
Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from health care, supply chain management to surveillance. These ...
137
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IROS
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
110
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IPPS
2000
IEEE
15 years 7 months ago
2000
IEEE
Time skewing is a compile-time optimization that can provide arbitrarily high cache hit rates for a class of iterative calculations, given a sufficient number of time steps and s...
133
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ALT
2007
Springer
15 years 9 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...