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» Missing Data Estimation Using Polynomial Kernels
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ISSS
1996
IEEE
123views Hardware» more  ISSS 1996»
15 years 4 months ago
Memory Organization for Improved Data Cache Performance in Embedded Processors
Code generation for embedded processors creates opportunities for several performance optimizations not applicable for traditional compilers. We present techniques for improving d...
Preeti Ranjan Panda, Nikil D. Dutt, Alexandru Nico...
102
Voted
TSMC
2010
14 years 7 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
BMCBI
2008
159views more  BMCBI 2008»
15 years 17 days ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin
82
Voted
ICASSP
2008
IEEE
15 years 7 months ago
Robust kernel density estimation
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
JooSeuk Kim, Clayton Scott
89
Voted
AIR
2005
122views more  AIR 2005»
15 years 11 days ago
The Genetic Kernel Support Vector Machine: Description and Evaluation
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...
Tom Howley, Michael G. Madden