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140
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MCS
2002
Springer
15 years 3 months ago
Distributed Pasting of Small Votes
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowye...
114
Voted
MCS
2002
Springer
15 years 3 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator
128
Voted
MCS
2002
Springer
15 years 3 months ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
157
Voted
MCS
2002
Springer
15 years 3 months ago
Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers
So far few theoretical works investigated the conditions under which specific fusion rules can work well, and a unifying framework for comparing rules of different complexity is cl...
Fabio Roli, Giorgio Fumera
150
Voted
MCS
2002
Springer
15 years 3 months ago
An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems
In this paper, an experimental comparison between fixed and trained fusion rules for multimodal personal identity verification is reported. We focused on the behaviour of the consi...
Fabio Roli, Josef Kittler, Giorgio Fumera, Daniele...