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» Scale-Time Kernels and Models
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ICML
2007
IEEE
14 years 9 months ago
Kernelizing PLS, degrees of freedom, and efficient model selection
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
Mikio L. Braun, Nicole Krämer
KDD
2004
ACM
181views Data Mining» more  KDD 2004»
14 years 9 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
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
IJCNN
2007
IEEE
14 years 3 months ago
Probability Density Function Estimation Using Orthogonal Forward Regression
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
Sheng Chen, Xia Hong, Chris J. Harris
ICASSP
2009
IEEE
14 years 3 months ago
Space Kernel Analysis
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
Liuling Gong, Dan Schonfeld