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CSDA
2007
120views more  CSDA 2007»
13 years 7 months ago
Boosting ridge regression
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approac...
Gerhard Tutz, Harald Binder
CVPR
2007
IEEE
14 years 9 months ago
Improving Variance Estimation in Biometric Systems
Measuring system performance seems conceptually straightforward. However, the interpretation of the results and predicting future performance remain as exceptional challenges in s...
Ross J. Micheals, Terrance E. Boult
DAGSTUHL
2009
13 years 8 months ago
Advances in Feature Selection with Mutual Information
The selection of features that are relevant for a prediction or classification problem is an important problem in many domains involving high-dimensional data. Selecting features h...
Michel Verleysen, Fabrice Rossi, Damien Fran&ccedi...
IDA
2000
Springer
13 years 7 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
13 years 11 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...