5860 search results - page 3 / 1172 » Learning and Domain Adaptation |
EMNLP
2006
13 years 9 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...
ICASSP
2007
IEEE
14 years 2 months ago
2007
IEEE
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
NIPS
2007
13 years 9 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
IJCSA
2006
13 years 7 months ago
2006
This work presents an XML-based authoring methodology that facilitates the different tasks associated with the development of standards-compliant e-learning content development. T...
ECIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...