Sciweavers

408 search results - page 13 / 82
» Regression with Linear Factored Functions
Sort
View
UAI
2004
14 years 11 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
INFORMATICALT
2006
129views more  INFORMATICALT 2006»
14 years 10 months ago
On the Identification of Hammerstein Systems Having Saturation-like Functions with Positive Slopes
Abstract. The aim of the given paper is the development of an approach for parametric identification of Hammerstein systems with piecewise linear nonlinearities, i.e., when the sat...
Rimantas Pupeikis
CSDA
2010
111views more  CSDA 2010»
14 years 10 months ago
Mixtures of regressions with predictor-dependent mixing proportions
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
D. S. Young, D. R. Hunter
MCSS
2008
Springer
14 years 10 months ago
Weakly coprime factorization and state-feedback stabilization of discrete-time systems
Abstract: The LQ-optimal state feedback of a finite-dimensional linear time-invariant system determines a coprime factorization NM-1 of the transfer function. We show that the same...
Kalle M. Mikkola
IJCV
2000
133views more  IJCV 2000»
14 years 9 months ago
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
We present an algorithm to estimate the parameters of a linear model in the presence of heteroscedastic noise, i.e., each data point having a different covariance matrix. The algor...
Yoram Leedan, Peter Meer