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SIAMSC
2010
192views more  SIAMSC 2010»
13 years 1 months ago
Adaptive Discontinuous Galerkin Methods for Eigenvalue Problems Arising in Incompressible Fluid Flows
In this article we consider the a posteriori error estimation and adaptive mesh refinement of discontinuous Galerkin finite element approximations of the hydrodynamic stability p...
K. Andrew Cliffe, Edward J. C. Hall, Paul Houston
SIAMSC
2008
142views more  SIAMSC 2008»
13 years 2 months ago
Multitarget Error Estimation and Adaptivity in Aerodynamic Flow Simulations
Important quantities in aerodynamic flow simulations are the aerodynamic force coefficients including the pressure induced and the viscous stress induced drag, lift and moment coef...
Ralf Hartmann
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 2 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He
COMPUTING
2008
87views more  COMPUTING 2008»
13 years 2 months ago
Simple a posteriori error estimators for the h-version of the boundary element method
The h-h/2-strategy is one very basic and well-known technique for the a posteriori error estimation for Galerkin discretizations of energy minimization problems. Let denote the e...
Samuel Ferraz-Leite, Dirk Praetorius
NIPS
2004
13 years 4 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
ICML
2001
IEEE
14 years 3 months ago
Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation
This work is concerned with the estimation of a classifier's accuracy. We first review some existing methods for error estimation, focusing on cross-validation and bootstrap,...
Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram