3378 search results - page 136 / 676 » Learning in Friedberg Numberings |
153
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ECML
2004
Springer
15 years 12 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
158
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
192
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
171
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
216
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ICCV
2007
IEEE
16 years 23 days ago
2007
IEEE
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...