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» Kernel Measures of Conditional Dependence
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BMCBI
2010
146views more  BMCBI 2010»
13 years 10 months ago
On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference
Background: Transcriptional regulatory network inference (TRNI) from large compendia of DNA microarrays has become a fundamental approach for discovering transcription factor (TF)...
Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Ko...
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
14 years 4 months ago
Characterization of the compact Hokuyo URG-04LX 2D laser range scanner
— This paper presents a detailed characterization of the Hokuyo URG-04LX 2D laser range finder. While the sensor specifications only provide a rough estimation of the sensor ac...
Laurent Kneip, Fabien Tâche, Gilles Caprari,...
ICML
2007
IEEE
14 years 11 months ago
A kernel-based causal learning algorithm
We describe a causal learning method, which employs measuring the strength of statistical dependences in terms of the Hilbert-Schmidt norm of kernel-based cross-covariance operato...
Xiaohai Sun, Dominik Janzing, Bernhard Schölk...
ALGORITHMICA
2007
145views more  ALGORITHMICA 2007»
13 years 10 months ago
Counting Integer Points in Parametric Polytopes Using Barvinok's Rational Functions
Abstract Many compiler optimization techniques depend on the ability to calculate the number of elements that satisfy certain conditions. If these conditions can be represented by ...
Sven Verdoolaege, Rachid Seghir, Kristof Beyls, Vi...
SIAMSC
2008
151views more  SIAMSC 2008»
13 years 10 months ago
Accurate Floating-Point Summation Part I: Faithful Rounding
Given a vector of floating-point numbers with exact sum s, we present an algorithm for calculating a faithful rounding of s, i.e. the result is one of the immediate floating-point ...
Siegfried M. Rump, Takeshi Ogita, Shin'ichi Oishi