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» Estimation in covariate-adjusted regression
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GECCO
2010
Springer
169views Optimization» more  GECCO 2010»
15 years 1 months ago
Robust symbolic regression with affine arithmetic
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
Cassio Pennachin, Moshe Looks, João A. de V...
AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
14 years 11 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
CSDA
2006
71views more  CSDA 2006»
14 years 9 months ago
Computation of Huber's M-estimates for a block-angular regression problem
Huber's M-estimation technique is applied to a block-angular regression problem, which may arise from some applications. A recursive, modified Newton approach to computing th...
Xiao-Wen Chang
ML
2002
ACM
129views Machine Learning» more  ML 2002»
14 years 9 months ago
Model Selection for Small Sample Regression
Model selection is an important ingredient of many machine learning algorithms, in particular when the sample size in small, in order to strike the right trade-off between overfitt...
Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
SIGIR
2002
ACM
14 years 9 months ago
A logistic regression approach to distributed IR
This poster session examines a probabilistic approach to distributed information retrieval using a Logistic Regression algorithm for estimation of collection relevance. The algori...
Ray R. Larson