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» Model Selection and Error Estimation
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DSP
2008
13 years 7 months ago
Empirical Bayes linear regression with unknown model order
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
Yngve Selén, Erik G. Larsson
CSDA
2010
119views more  CSDA 2010»
13 years 7 months ago
Fast robust estimation of prediction error based on resampling
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar
ISMDA
2004
Springer
14 years 27 days ago
Model Selection and Adaptation for Biochemical Pathways
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
Rüdiger W. Brause
AROBOTS
2002
126views more  AROBOTS 2002»
13 years 7 months ago
Selecting Landmarks for Localization in Natural Terrain
We describe techniques to optimally select landmarks for performing mobile robot localization by matching terrain maps. The method is based upon a maximum-likelihood robot localiza...
Clark F. Olson
ICC
2007
IEEE
14 years 1 months ago
Soft Estimation of Time-Varying Frequency Selective Channels Using Kalman Smoothing
— This paper addresses soft estimation of time-varying frequency selective channels using Kalman smoothing. The proposed estimator uses soft extrinsic information provided by a c...
Valery Ramon, Cédric Herzet, Xavier Wautele...