266 search results - page 10 / 54 » Is Combining Classifiers Better than Selecting the Best One |
ICVS
2009
Springer
13 years 5 months ago
2009
Springer
This paper introduces a system that automatically classifies registration problems based on the type of registration required. Rather than rely on a single "best" algorit...
LREC
2010
13 years 9 months ago
2010
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
BMCBI
2006
13 years 7 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
IJCSA
2008
13 years 7 months ago
2008
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...