2898 search results - page 303 / 580 » Ensemble Methods in Machine Learning |
96
Voted
COLT
2005
Springer
15 years 6 months ago
2005
Springer
A general model is proposed for studying ranking problems. We investigate learning methods based on empirical minimization of the natural estimates of the ranking risk. The empiric...
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
ECML
2006
Springer
15 years 4 months ago
2006
Springer
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
110
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
99
Voted
EMNLP
2006
15 years 2 months ago
2006
This paper presents a method of automatically constructing information extraction patterns on predicate-argument structures (PASs) obtained by full parsing from a smaller training...