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» Methods of Automatic Algorithm Generation
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DAWAK
2006
Springer
15 years 10 months ago
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciec...
FLAIRS
2007
15 years 9 months ago
A Distance-Based Over-Sampling Method for Learning from Imbalanced Data Sets
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
Jorge de la Calleja, Olac Fuentes
ICASSP
2011
IEEE
14 years 10 months ago
Proximal splitting methods for depth estimation
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In ...
Mireille El Gheche, Jean-Christophe Pesquet, Jouma...
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
15 years 7 months ago
Estimation of pump-curves using genetic algorithms
This paper presents a variety of different ways of estimating the general parameters for pump-curves. First a formulation is made that converts the problem into estimating four p...
Gerulf K. M. Pedersen, Zhenyu Yang
FLAIRS
2006
15 years 8 months ago
Model Construction Algorithms for Object-Oriented Probabilistic Relational Models
This paper presents three new algorithms for the automatic construction of models from Object Oriented Probabilistic RelationalModels. The first two algorithms are based on the kn...
Catherine Howard, Markus Stumptner