1859 search results - page 207 / 372 » Using Problems to Learn Service-Oriented Computing |
308
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ROCAI
2004
Springer
15 years 11 months ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
195
Voted
RULEML
2004
Springer
15 years 11 months ago
2004
Springer
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
183
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CORR
2011
Springer
14 years 10 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
153
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KDD
2003
ACM
16 years 6 months ago
2003
ACM
This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
164
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ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...