21 search results - page 2 / 5 » Confidence Evaluation for Combining Diverse Classifiers |
ICDAR
2003
IEEE
13 years 11 months ago
2003
IEEE
The use of artificial outputs generated by a classifier simulator has recently emerged as a new trend to provide an underlying evaluation of classifier combination methods. In thi...
DMIN
2006
13 years 7 months ago
2006
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
FSKD
2006
Springer
13 years 9 months ago
2006
Springer
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...