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ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
15 years 6 months 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 3 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...
ESANN
2004
15 years 1 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 3 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 2 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