1174 search results - page 7 / 235 » Boosting for transfer learning |
KDD
2001
ACM
14 years 7 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
CORR
2000
Springer
13 years 7 months ago
2000
Springer
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
COLT
1990
Springer
13 years 11 months ago
1990
Springer
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
AAAI
2010
13 years 8 months ago
2010
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...