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ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
16 years 18 days ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
ICASSP
2011
IEEE
14 years 10 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
159
Voted
ESANN
2004
15 years 7 months ago
On fields of nonlinear regression models
Abstract. In the context of nonlinear regression, we consider the problem of explaining a variable y from a vector x of explanatory variables and from a vector t of conditionning v...
Bruno Pelletier, Robert Frouin
CDC
2009
IEEE
155views Control Systems» more  CDC 2009»
15 years 10 months ago
Improved independent component regression modeling
The conventional independent component regression (ICR), as an exclusive two-step implementation algorithm, has the risk similar to principal component regression (PCR). That is, t...
Chunhui Zhao, Furong Gao, Tao Liu, Fuli Wang
WSC
2007
15 years 8 months ago
Regression models and experimental designs: a tutorial for simulation analysts
This tutorial explains the basics of linear regression metamodels—especially low-order polynomials—and the corresponding statistical designs—namely, fractional factorial des...
Jack P. C. Kleijnen