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ICMLA
2008
9 years 1 months ago
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
Tuve Löfström, Ulf Johansson, Henrik Bos...
DMIN
2006
158views Data Mining» more  DMIN 2006»
9 years 1 months ago
Ensemble Selection Using Diversity Networks
- 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...
Qiang Ye, Paul W. Munro
CIDM
2009
IEEE
9 years 6 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
SBRN
2006
IEEE
9 years 6 months ago
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity
Alixandre Santana, Rodrigo G. F. Soares, Anne M. P...
INFFUS
2006
142views more  INFFUS 2006»
8 years 12 months ago
Moderate diversity for better cluster ensembles
Adjusted Rand index is used to measure diversity in cluster ensembles and a diversity measure is subsequently proposed. Although the measure was found to be related to the quality...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva, ...
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