1174 search results - page 13 / 235 » Boosting for transfer learning |
NIPS
2007
13 years 8 months ago
2007
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
ACL
2006
13 years 8 months ago
2006
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...
PAMI
2011
13 years 2 months ago
2011
—A novel framework is proposed for the design of cost-sensitive boosting algorithms. The framework is based on the identification of two necessary conditions for optimal cost-sen...
ECML
2005
Springer
14 years 28 days ago
2005
Springer
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively, Stochastic Gradient Boosting (SGB) and Iterated Baggi...
IJCAI
2007
13 years 8 months ago
2007
We present MBoost, a novel extension to AdaBoost that extends boosting to use multiple weak learners explicitly, and provides robustness to learning models that overfit or are po...