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» Techniques for Optimization of Net Algorithms
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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
15 years 9 months ago
The application of antigenic search techniques to time series forecasting
Time series have been a major topic of interest and analysis for hundreds of years, with forecasting a central problem. A large body of analysis techniques has been developed, par...
Ian Nunn, Tony White
154
Voted
PG
2000
IEEE
15 years 8 months ago
Morphing Using Curves and Shape Interpolation Techniques
This paper presents solutions to the feature correspondence and feature interpolation problems in image morphing. The user specifies the correspondence between the source and the...
Henry Johan, Yuichi Koiso, Tomoyuki Nishita
124
Voted
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 3 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
124
Voted
WWW
2003
ACM
16 years 4 months ago
Techniques and Metrics for Improving Website Structure
In this work two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website...
Eleni Christopoulou, John D. Garofalakis, Christos...
104
Voted
DAC
2009
ACM
15 years 10 months ago
ARMS - automatic residue-minimization based sampling for multi-point modeling techniques
This paper describes an automatic methodology for optimizing sample point selection for using in the framework of model order reduction (MOR). The procedure, based on the maximiza...
Jorge Fernandez Villena, Luis Miguel Silveira