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BMCBI
2010
147views more  BMCBI 2010»
14 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
PUK
2003
14 years 10 months ago
Accelerating Heuristic Search in Spatial Domains
This paper exploits the spatial representation of state space problem graphs to preprocess and enhance heuristic search engines. It combines classical AI exploration with computati...
Stefan Edelkamp, Shahid Jabbar, Thomas Willhalm
CIE
2009
Springer
15 years 4 months ago
On Generating Independent Random Strings
It is shown that from two strings that are partially random and independent (in the sense of Kolmogorov complexity) it is possible to effectively construct polynomially many strin...
Marius Zimand
ICPR
2000
IEEE
15 years 10 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
DATE
2010
IEEE
183views Hardware» more  DATE 2010»
15 years 2 months ago
Multithreaded code from synchronous programs: Extracting independent threads for OpenMP
—Synchronous languages offer a deterministic model of concurrency at the level of actions. However, essentially all compilers for synchronous languages compile these actions into...
Daniel Baudisch, Jens Brandt, Klaus Schneider