603 search results - page 9 / 121 » A theory of learning from different domains |
FOCS
1990
IEEE
15 years 2 months ago
1990
IEEE
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
CONTEXT
2001
Springer
15 years 2 months ago
2001
Springer
Genetic Programming is extended so that the solutions being evolved do so in the context of local domains within the total problem domain. This produces a situation where different...
AAAI
2008
15 years 7 days ago
2008
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
EMNLP
2006
14 years 11 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...