1174 search results - page 2 / 235 » Boosting for transfer learning |
128
Voted
ALT
2006
Springer
16 years 27 days ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
135
Voted
ML
2007
ACM
15 years 3 months ago
2007
ACM
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
136
Voted
COLT
2000
Springer
15 years 7 months ago
2000
Springer
133
click to vote
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
123
Voted
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...