2363 search results - page 45 / 473 » Learning Algorithms for Domain Adaptation |
CORR
2011
Springer
13 years 3 months ago
2011
Springer
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
AGENTS
1998
Springer
14 years 1 months ago
1998
Springer
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
Combining the channels of a multiple input/multiple output (MIMO) system into suitably chosen modes by a domain transformation offers great improvements of adaptive filtering alg...
NAACL
2004
13 years 10 months ago
2004
We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
FOCS
1990
IEEE
14 years 25 days 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 ...