Sciweavers

Share
MCS
2002
Springer
8 years 11 months ago
New Measure of Classifier Dependency in Multiple Classifier Systems
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Dymitr Ruta, Bogdan Gabrys
INFFUS
2006
142views more  INFFUS 2006»
9 years 21 hour 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, ...
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...
PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
9 years 4 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
GECCO
2003
Springer
105views Optimization» more  GECCO 2003»
9 years 5 months ago
The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
In this paper we compare and analyze the various diversity measures used in the Evolutionary Computation field. While each measure looks quite different from the others in form, we...
Mark Wineberg, Franz Oppacher
books