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INFORMATICALT
2011
112views more  INFORMATICALT 2011»
13 years 3 months ago
The Minimum Density Power Divergence Approach in Building Robust Regression Models
It is well known that in situations involving the study of large datasets where influential observations or outliers maybe present, regression models based on the Maximum Likeliho...
Alessandra Durio, Ennio Davide Isaia
IIR
2010
13 years 6 months ago
Selecting Features for Ordinal Text Classification
We present four new feature selection methods for ordinal regression and test them against four different baselines on two large datasets of product reviews.
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
COLT
1995
Springer
14 years 7 days ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
BMCBI
2007
121views more  BMCBI 2007»
13 years 8 months ago
A constrained polynomial regression procedure for estimating the local False Discovery Rate
Background: In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (lFDR), which...
Cyril Dalmasso, Avner Bar-Hen, Philippe Broët
PROCEDIA
2010
109views more  PROCEDIA 2010»
13 years 3 months ago
Ridge regression ensemble for toxicity prediction
Traditional methods of assessing chemical toxicity of various compounds require tests on animals, which raises ethical concerns and is expensive. Current legislation may lead to a...
Marcin Budka, Bogdan Gabrys