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» Anytime Algorithm for Feature Selection
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EPS
1998
Springer
15 years 6 months ago
Acquisition of General Adaptive Features by Evolution
We investigate the following question. Do populations of evolving agents adapt only to their recent environment or do general adaptive features appear over time? We find statistica...
Dan Ashlock, John E. Mayfield

Publication
352views
14 years 7 months ago
A Contourlet Transform Feature Extraction Scheme for Ultrasound Thyroid Texture Classification
Ultrasonography is an invaluable and widely used medical imaging tool. Nevertheless, automatic texture analysis on ultrasound images remains a challenging issue. This work presen...
Stamos Katsigiannis, Eystratios G. Keramidas, Dimi...
ICPR
2004
IEEE
16 years 3 months ago
3D Surface Reconstruction by Self-Consistent Fusion of Shading and Shadow Features
In this paper a novel framework for three-dimensional surface reconstruction by self-consistent fusion of shading and shadow features is presented. Based on the analysis of at lea...
Christian Wöhler
NIPS
2007
15 years 3 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
HICSS
2008
IEEE
222views Biometrics» more  HICSS 2008»
15 years 8 months ago
A Comprehensive Fuzzy Logic Model for Feature Performance Assessment against Network Attacks
—The feature selection phase is one of the first, and yet very important, tasks to be completed during the development of any Intrusion Detection System. If this phase is neglec...
Iosif-Viorel Onut, Ali A. Ghorbani