2175 search results - page 204 / 435 » Model-free Learning from Demonstration |
174
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ATAL
2010
Springer
15 years 7 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
183
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
157
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CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
185
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
160
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...