121 search results - page 5 / 25 » The Feature Selection Path in Kernel Methods |
ESANN
2006
13 years 8 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
CVPR
2010
IEEE
13 years 11 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
ESANN
2007
13 years 8 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
EMNLP
2007
13 years 8 months ago
2007
This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for r...