1106 search results - page 59 / 222 » On regularization algorithms in learning theory |
137
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ALT
2008
Springer
16 years 1 months ago
2008
Springer
This paper studies Dawid’s prequential framework from the point of view of the algorithmic theory of randomness. The main result is that two natural notions of randomness coincid...
132
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
129
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ITS
2000
Springer
15 years 8 months ago
2000
Springer
Abstract. We discuss the design of an agent for coaching collaborative learning in a distance learning context. The learning domain is entity-relationship modeling, a domain in whi...
177
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
139
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UAI
2008
15 years 6 months ago
2008
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...