552 search results - page 1 / 111 » Domain Adaptation with Multiple Sources |
NIPS
2008
13 years 5 months ago
2008
This paper presents a theoretical analysis of the problem of domain adaptation with multiple sources. For each source domain, the distribution over the input points as well as a h...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
EMNLP
2008
13 years 5 months ago
2008
NLP tasks are often domain specific, yet systems can learn behaviors across multiple domains. We develop a new multi-domain online learning framework based on parameter combinatio...
ML
2010
ACM
12 years 11 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
NIPS
2007
13 years 5 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...