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KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 2 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
IBPRIA
2007
Springer
15 years 1 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez
ICPR
2000
IEEE
15 years 1 months ago
Rough Histograms for Robust Statistics
Applied statistics are widely used in pattern recognition and other computing applications tofind the most likely value of a parameter. The use of classical empirical statistics i...
Olivier Strauss, Frederic Comby, Marie-José...
MCS
2000
Springer
15 years 1 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
MCS
2000
Springer
15 years 1 months ago
Experiments with Classifier Combining Rules
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
Robert P. W. Duin, David M. J. Tax