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» Selection of Generative Models in Classification
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GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
15 years 2 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
IJON
2002
83views more  IJON 2002»
14 years 9 months ago
Modeling temporal combination selective neurons of the songbird
Some neurons in the nucleus HVc of the songbird respond vigorously to sequences of syllables as they appear in the bird's own song (such as AB), but they respond weakly or no...
Patrick J. Drew, L. F. Abbott
EUROMED
2010
14 years 8 months ago
Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage
Within the last few years generative modeling techniques have gained attention especially in the context of cultural heritage. As a generative model describes a rather ideal object...
Christoph Schinko, Martin Strobl, Torsten Ullrich,...
77
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NIPS
2004
14 years 11 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake
ICIP
2009
IEEE
15 years 10 months ago
Color Constancy Using Stage Classification
The aim of color constancy is to remove the effect of the color of the light source. Since color constancy is inherently an ill-posed problem, different assumptions have been prop...