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IJON
2007
114views more  IJON 2007»
13 years 8 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
CSDA
2010
175views more  CSDA 2010»
13 years 8 months ago
Testing, monitoring, and dating structural changes in exchange rate regimes
Linear regression models for de facto exchange rate regime classification are complemented by inferential techniques for evaluating the stability of the regimes. To simultaneously...
Achim Zeileis, Ajay Shah, Ila Patnaik
TSMC
2008
99views more  TSMC 2008»
13 years 8 months ago
Robust Regularized Kernel Regression
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
JIPS
2010
160views more  JIPS 2010»
13 years 3 months ago
A Regression Test Selection and Prioritization Technique
Regression testing is a very costly process performed primarily as a software maintenance activity. It is the process of retesting the modified parts of the software and ensuring t...
Ruchika Malhotra, Arvinder Kaur, Yogesh Singh