3250 search results - page 149 / 650 » Parameterized Learning Complexity |
167
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ACL
1994
15 years 7 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
272
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ATAL
2006
Springer
15 years 10 months ago
2006
Springer
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
157
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
149
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ITCC
2005
IEEE
15 years 12 months ago
2005
IEEE
The paper mainly discusses the DRM-enabled learning object model. Firstly, it analyses the art-of-status of Intellectual Property Rights in e-learning. Secondly, according to appl...
142
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GECCO
2004
Springer
15 years 11 months ago
2004
Springer
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...