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NCI
2004
141views Neural Networks» more  NCI 2004»
13 years 10 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 3 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
CDC
2008
IEEE
130views Control Systems» more  CDC 2008»
14 years 3 months ago
Predictor estimation via Gaussian regression
Abstract— A novel nonparametric paradigm to model identification has been recently proposed where, in place of postulating finite-dimensional models of the system transfer func...
Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe ...
ICSM
2005
IEEE
14 years 2 months ago
Maintainability Prediction: A Regression Analysis of Measures of Evolving Systems
In order to build predictors of the maintainability of evolving software, we first need a means for measuring maintainability as well as a training set of software modules for whi...
Jane Huffman Hayes, Liming Zhao
ANNPR
2006
Springer
14 years 21 days ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe