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CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 8 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
CIMCA
2005
IEEE
14 years 11 months ago
Fuzzy System Modeling with the Genetic and Differential Evolutionary Optimization
This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
Mehmet Bodur, Adnan Acan, Talip Akyol
CSDA
2008
122views more  CSDA 2008»
14 years 9 months ago
Bayesian inference for nonlinear multivariate diffusion models observed with error
Diffusion processes governed by stochastic differential equations (SDEs) are a well established tool for modelling continuous time data from a wide range of areas. Consequently, t...
Andrew Golightly, Darren J. Wilkinson
BMCBI
2007
197views more  BMCBI 2007»
14 years 9 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
BMCBI
2007
167views more  BMCBI 2007»
14 years 9 months ago
A stochastic differential equation model for transcriptional regulatory networks
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Adriana Climescu-Haulica, Michelle D. Quirk