3694 search results - page 307 / 739 » Stochastic complexity in learning |
156
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
203
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ECTEL
2008
Springer
15 years 8 months ago
2008
Springer
Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. F...
171
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ESANN
2007
15 years 8 months ago
2007
We apply kernel-based machine learning methods to online learning situations, and look at the related requirement of reducing the complexity of the learnt classifier. Online meth...
184
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DAGSTUHL
2004
15 years 8 months ago
2004
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
192
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EMNLP
2006
15 years 8 months ago
2006
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...