7342 search results - page 147 / 1469 » Optimal Language Learning |
110
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
101
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
109
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CEC
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
124
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CORR
2010
Springer
15 years 16 days ago
2010
Springer
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
103
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SASO
2009
IEEE
15 years 8 months ago
2009
IEEE
—Controlling particle swarm optimization is typically an unintuitive task, involving a process of adjusting low-level parameters of the system that often do not have obvious corr...