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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 8 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
CIBB
2008
15 years 7 months ago
Analysis of Kernel Based Protein Classification Strategies Using Pairwise Sequence Alignment Measures
Abstract. We evaluated methods of protein classification that use kernels built from BLAST output parameters. Protein sequences were represented as vectors of parameters (e.g. simi...
Dino Franklin, Somdutta Dhir, Sándor Pongor
ECAI
2010
Springer
15 years 6 months ago
Kernel Methods for Revealed Preference Analysis
In classical revealed preference analysis we are given a sequence of linear prices (i.e., additive over goods) and an agent's demand at each of the prices. The problem is to d...
Sébastien Lahaie
NIPS
2008
15 years 6 months ago
Kernel Change-point Analysis
We introduce a kernel-based method for change-point analysis within a sequence of temporal observations. Change-point analysis of an unlabelled sample of observations consists in,...
Zaïd Harchaoui, Francis Bach, Eric Moulines
ISCA
2003
IEEE
212views Hardware» more  ISCA 2003»
15 years 10 months ago
A Performance Analysis of PIM, Stream Processing, and Tiled Processing on Memory-Intensive Signal Processing Kernels
Trends in microprocessors of increasing die size and clock speed and decreasing feature sizes have fueled rapidly increasing performance. However, the limited improvements in DRAM...
Jinwoo Suh, Eun-Gyu Kim, Stephen P. Crago, Lakshmi...