5860 search results - page 27 / 1172 » Learning and Domain Adaptation |
TSMC
2008
13 years 11 months ago
2008
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
AAAI
2011
12 years 11 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
IJON
1998
13 years 11 months ago
1998
In this paper we employ information theoretic algorithms, previously used for separating instantaneous mixtures of sources, for separating convolved mixtures in the frequency doma...
ICALT
2011
IEEE
12 years 10 months ago
2011
IEEE
—this work addresses issues relevant to the project CLES (Cognitive and Linguistic Element Stimulation) which aims to develop a serious game for diagnosis and training of childre...
ACL
2011
13 years 2 months ago
2011
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...