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» Variable selection using random forests
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HIS
2009
13 years 4 months ago
On Some Properties of the lbest Topology in Particle Swarm Optimization
: Particle Swarm Optimization (PSO) is arguably one of the most popular nature- inspired algorithms for real parameter optimization at present. The existing theoretical research on...
Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swaga...
ICC
2009
IEEE
14 years 1 months ago
A Laplace Transform-Based Method to Stochastic Path Finding
—Finding the most likely path satisfying a requested additive Quality-of-Service (QoS) value, such as delay, when link metrics are defined as random variables by known probabili...
Suleyman Uludag, Ziyneti Elif Uludag, Klara Nahrst...
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
13 years 11 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
COMPGEOM
2001
ACM
13 years 10 months ago
Discrete mobile centers
We propose a new randomized algorithm for maintaining a set of clusters among moving nodes in the plane. Given a specified cluster radius, our algorithm selects and maintains a va...
Jie Gao, Leonidas J. Guibas, John Hershberger, Li ...
BMCBI
2008
155views more  BMCBI 2008»
13 years 6 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...