Sciweavers

291 search results - page 3 / 59
» On fields of nonlinear regression models
Sort
View
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
16 years 19 days 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...
IPMI
2003
Springer
16 years 8 months ago
Nonlinear Estimation and Modeling of fMRI Data Using Spatio-temporal Support Vector Regression
Yongmei Michelle Wang, Robert T. Schultz, R. Todd ...
161
Voted
SAC
2010
ACM
15 years 6 months ago
Non-linear regression models for Approximate Bayesian Computation
Michael G. B. Blum, Olivier François
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 11 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon