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» On Conditions for Linearity of Optimal Estimation
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SIAMSC
2010
108views more  SIAMSC 2010»
14 years 8 months ago
Goal-Oriented Error Estimation and Adaptivity for Free-Boundary Problems: The Shape-Linearization Approach
Abstract. We develop duality-based a posteriori error estimates for functional outputs of solutions of free-boundary problems via shape-linearization principles. To derive an appro...
K. G. van der Zee, E. H. van Brummelen, R. de Bors...
TIT
2010
118views Education» more  TIT 2010»
14 years 4 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
NCI
2004
141views Neural Networks» more  NCI 2004»
14 years 11 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
SIMPRA
2008
125views more  SIMPRA 2008»
14 years 9 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
DCC
1998
IEEE
15 years 1 months ago
A Locally Optimal Design Algorithm for Block-Based Multi-Hypothesis Motion-Compensated Prediction
Multi-hypothesis motion-compensated prediction extends traditional motion-compensated prediction used in video coding schemes. Known algorithms for block-based multi-hypothesis mo...
Markus Flierl, Thomas Wiegand, Bernd Girod