1614 search results - page 162 / 323 » Learning Rules and Their Exceptions |
147
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COLT
1999
Springer
15 years 7 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
122
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ACL
1998
15 years 4 months ago
1998
We present an architecture and an on-line learning algorithm and apply it to the problem of part-ofspeech tagging. The architecture presented, SNOW, is a network of linear separat...
111
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ICTAI
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper describes an attempt to devise a knowledge discovery model that is inspired from the two theoretical frameworks of selectionism and constructivism in human cognitive le...
107
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AIED
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We present a framework for the automatic annotation of learning objects (LOs) with empirical usage metadata. Our implementation of the Intelligent Learning Object Guide (...
147
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ECAL
2001
Springer
15 years 7 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...