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MCS
2009
Springer
14 years 25 days ago
An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...
Chun-Xia Zhang, Robert P. W. Duin
AUSAI
2001
Springer
14 years 23 days ago
Wrapping Boosters against Noise
Abstract. Wrappers have recently been used to obtain parameter optimizations for learning algorithms. In this paper we investigate the use of a wrapper for estimating the correct n...
Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidb...
MCS
2001
Springer
14 years 21 days ago
On Combining Dissimilarity Representations
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Elzbieta Pekalska, Robert P. W. Duin
HICSS
2000
IEEE
99views Biometrics» more  HICSS 2000»
14 years 20 days ago
Selecting a Model Interchange Format: The SPOOL Case Study
The aim of this paper is to provide tool developers with effective strategies to minimize the risks, costs, effort and time involved in handling model interchange issues. Specific...
Guy Saint-Denis, Reinhard Schauer, Rudolf K. Kelle...
IJCNN
2000
IEEE
14 years 19 days ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...