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AI
2010
Springer
13 years 8 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
AMAI
2008
Springer
13 years 8 months ago
Set based logic programming
In a previous paper [BMR01], the authors showed that the mechanism underlying Logic Programming can be extended to handle the situation where the atoms are interpreted as subsets o...
Howard A. Blair, Victor W. Marek, Jeffrey B. Remme...
AUTOMATICA
2007
145views more  AUTOMATICA 2007»
13 years 8 months ago
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
In this paper, the problem of decentralized adaptive output-feedback stabilization is investigated for large-scale stochastic nonlinear systems with three types of uncertainties, ...
Shu-Jun Liu, Ji-Feng Zhang, Zhong-Ping Jiang
BMCBI
2010
130views more  BMCBI 2010»
13 years 8 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
BMCBI
2010
104views more  BMCBI 2010»
13 years 8 months ago
Parameters for accurate genome alignment
Background: Genome sequence alignments form the basis of much research. Genome alignment depends on various mundane but critical choices, such as how to mask repeats and which sco...
Martin C. Frith, Michiaki Hamada, Paul Horton