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JIFS
2002
107views more  JIFS 2002»
13 years 7 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
IJCNN
2006
IEEE
14 years 1 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
ISBI
2008
IEEE
14 years 8 months ago
Landmark selection for shape model construction via equalization of variance
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
Sylvia Rueda, Jayaram K. Udupa, Li Bai
ICML
2002
IEEE
14 years 8 months ago
Discriminative Feature Selection via Multiclass Variable Memory Markov Model
Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tis...
CVPR
2009
IEEE
15 years 2 months ago
Dictionary-Free Categorization of Very Similar Objects via Stacked Evidence Trees
Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many applications require making ...
Andrew Moldenke, Asako Yamamuro, David A. Lytle, E...