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» The Lifted Newton Method and Its Application in Optimization
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SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 7 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
CDC
2010
IEEE
145views Control Systems» more  CDC 2010»
13 years 2 months ago
Multivariable frequency domain identification using IV-based linear regression
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
Rogier S. Blom, Paul M. J. Van den Hof
WADS
1995
Springer
107views Algorithms» more  WADS 1995»
13 years 11 months ago
Quadrangulations of Planar Sets
We consider the problem of obtaining “nice” quadrangulations of planar sets of points. For many applications “nice” means that the quadrilaterals obtained are convex if po...
Godfried T. Toussaint
ICML
2000
IEEE
14 years 8 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
ISSAC
1995
Springer
108views Mathematics» more  ISSAC 1995»
13 years 11 months ago
A Solution to the Extended GCD Problem
An improved method for expressing the greatest common divisor of n numbers as an integer linear combination of the numbers is presented and analyzed, both theoretically and practi...
Bohdan S. Majewski, George Havas