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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
13 years 1 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
INTERSPEECH
2010
13 years 5 months ago
Lexical entrainment of real users in the let's go spoken dialog system
This paper examines the lexical entrainment of real users in the Let's Go spoken dialog system. First it presents a study of the presence of entrainment in a year of human-tr...
Gabriel Parent, Maxine Eskenazi
TSP
2008
166views more  TSP 2008»
13 years 10 months ago
Linear Regression With Gaussian Model Uncertainty: Algorithms and Bounds
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
Ami Wiesel, Yonina C. Eldar, Arie Yeredor
TIP
2008
216views more  TIP 2008»
13 years 10 months ago
Texture Analysis and Classification With Linear Regression Model Based on Wavelet Transform
Abstract--The wavelet transform as an important multiresolution analysis tool has already been commonly applied to texture analysis and classification. Nevertheless, it ignores the...
Zhi-Zhong Wang, Jun-Hai Yong
SOCO
2008
Springer
13 years 10 months ago
Fuzzy linear regression model based on fuzzy scalar product
The new concept and method of imposing imprecise (fuzzy) input and output data upon the conventional linear regression model is proposed in this paper. We introduce the fuzzy scala...
Hsien-Chung Wu
CSDA
2007
88views more  CSDA 2007»
13 years 11 months ago
A study of partial F tests for multiple linear regression models
Partial F tests play a central role in model selections in multiple linear regression models. This paper studies the partial F tests from the view point of simultaneous confidence...
Mortaza Jamshidian, Robert I. Jennrich, Wei Liu
EOR
2006
113views more  EOR 2006»
13 years 11 months ago
Validation of regression metamodels in simulation: Bootstrap approach
Simulation experiments are often analyzed through a linear regression model of their input/output data. Such an analysis yields a metamodel or response surface for the underlying ...
Jack P. C. Kleijnen, David Deflandre
IJDMB
2008
132views more  IJDMB 2008»
13 years 11 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
ICPR
2006
IEEE
14 years 12 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi