1174 search results - page 15 / 235 » Boosting for transfer learning |
KDD
1999
ACM
13 years 11 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
BMVC
2010
13 years 4 months ago
2010
We introduce a novel bilinear boosting algorithm, which extends the multi-class boosting framework of JointBoost to optimize a bilinear objective function. This allows style param...
IWBRS
2005
Springer
14 years 27 days ago
2005
Springer
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
ECTEL
2011
Springer
12 years 7 months ago
2011
Springer
NAACL
2007
13 years 8 months ago
2007
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...