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» Boosting Methods for Regression
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DEXAW
2007
IEEE
116views Database» more  DEXAW 2007»
14 years 4 months ago
Regression Relevance Models for Data Fusion
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...
Shengli Wu, Yaxin Bi, Sally I. McClean
ECML
2007
Springer
14 years 4 months ago
Additive Groves of Regression Trees
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
Daria Sorokina, Rich Caruana, Mirek Riedewald
CCECE
2006
IEEE
14 years 4 months ago
Breast Cancer Prognosis via Gaussian Mixture Regression
This paper compares the performance of classification and regression trees (CART), multivariate adaptive regression splines (MARS), and a Gaussian mixture regressor (GMR) method ...
Tiago H. Falk, Hagit Shatkay, Wai-Yip Chan
IJCNN
2000
IEEE
14 years 2 months 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...
ESANN
2004
13 years 11 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot