2623 search results - page 339 / 525 » Universal Learning Theory |
167
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ALT
2005
Springer
16 years 3 months ago
2005
Springer
Within learning theory teaching has been studied in various ways. In a common variant the teacher has to teach all learners that are restricted to output only consistent hypotheses...
150
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ALT
2004
Springer
16 years 3 months ago
2004
Springer
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...
155
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COLT
2007
Springer
16 years 20 days ago
2007
Springer
For the natural notion of splitting classes into two disjoint subclasses via a recursive classifier working on texts, the question is addressed how these splittings can look in th...
188
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AIIA
2003
Springer
15 years 11 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
197
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COLT
2000
Springer
15 years 10 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...