530 search results - page 8 / 106 » Learning Bounds for Domain Adaptation |
JMLR
2012
11 years 10 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
JAIR
2006
13 years 7 months ago
2006
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
AUSAI
2004
Springer
14 years 1 months ago
2004
Springer
The conversational agent understands and provides users with proper information based on natural language. Conventional agents based on pattern matching have much restriction to ma...
ACL
2008
13 years 9 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
COLING
2008
13 years 9 months ago
2008
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...