603 search results - page 6 / 121 » A theory of learning from different domains |
WWW
2011
ACM
14 years 4 months ago
2011
ACM
We propose a method to adapt an existing relation extraction system to extract new relation types with minimum supervision. Our proposed method comprises two stages: learning a lo...
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ML
2010
ACM
14 years 4 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...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
AAAI
1994
14 years 11 months ago
1994
Most Artificial Intelligence programs lack generality because they reason with a single domain theory that is tailored for a specific task and embodies a host of implicit assumpti...