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» Minimization of an M-convex Function
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MOR
2006
95views more  MOR 2006»
15 years 6 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege
AUTOMATICA
2005
137views more  AUTOMATICA 2005»
15 years 6 months ago
Multivariable frequency-response curve fitting with application to modal parameter estimation
This paper presents a computational approach for the frequency-domain identification of multivariable, discrete-time transfer function models based on a cost function minimization...
P. Verboven, P. Guillaume, B. Cauberghe
TJS
2002
160views more  TJS 2002»
15 years 6 months ago
Adaptive Optimizing Compilers for the 21st Century
Historically, compilers have operated by applying a fixed set of optimizations in a predetermined order. We call such an ordered list of optimizations a compilation sequence. This...
Keith D. Cooper, Devika Subramanian, Linda Torczon
PVLDB
2008
127views more  PVLDB 2008»
15 years 6 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
TNN
2010
234views Management» more  TNN 2010»
15 years 1 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes