39 search results - page 2 / 8 » On the Use of Accuracy and Diversity Measures for Evaluating... |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Ensemble of Classifiers (EoC) has been shown effective in improving the performance of single classifiers by combining their outputs. By using diverse data subsets to train classi...
PRL
2010
13 years 2 months ago
2010
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
GECCO
2006
Springer
13 years 8 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...
HIS
2004
13 years 5 months ago
2004
: A-scans from ultrasonic testing of long shafts are complex signals. The discrimination of different types of echoes is of importance for non-destructive testing and equipment mai...
CIARP
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. Diversity is a key characteristic to obtain advantages of combining predictors. In this paper, we propose a modification of bagging to explicitly trade off diversity and ...