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» Feature selection with neural networks
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ECML
2003
Springer
14 years 2 months ago
Support Vector Machines with Example Dependent Costs
Abstract. Classical learning algorithms from the fields of artificial neural networks and machine learning, typically, do not take any costs into account or allow only costs depe...
Ulf Brefeld, Peter Geibel, Fritz Wysotzki
EH
2002
IEEE
129views Hardware» more  EH 2002»
14 years 1 months ago
The BioWall: An Electronic Tissue for Prototyping Bio-Inspired Systems
In this article, we present the BioWall, a giant reconfigurable computing tissue developed to implement machines according to the principles of our Embryonics (embryonic electroni...
Gianluca Tempesti, Daniel Mange, André Stau...
ICANN
2009
Springer
14 years 1 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai
AE
2001
Springer
14 years 1 months ago
Evolving Objects: A General Purpose Evolutionary Computation Library
This paper presents the evolving objects library (EOlib), an object-oriented framework for evolutionary computation (EC) that aims to provide a flexible set of classes to build EC...
Maarten Keijzer, Juan J. Merelo Guervós, Gu...
ICIAP
1997
ACM
14 years 27 days ago
A Method for Segmentation of CT Head Images
A novel method for automatic segmentation of computed tomography CT head images of patients having spontaneous intracerebral brain hemorrhage has been presented in this work. The...
Sven Loncaric, Domagoj Kovacevic