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» Statistical Methods for Construction of Neural Networks
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BIB
2008
109views more  BIB 2008»
13 years 8 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel
CEC
2008
IEEE
14 years 3 months ago
Creating edge detectors by evolutionary reinforcement learning
— In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is c...
Nils T. Siebel, Sven Grünewald, Gerald Sommer
ICANN
2001
Springer
14 years 1 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
TIFS
2008
102views more  TIFS 2008»
13 years 8 months ago
Use of Identification Trial Statistics for the Combination of Biometric Matchers
Combination functions typically used in biometric identification systems consider as input parameters only those matching scores which are related to a single person in order to de...
Sergey Tulyakov, Venu Govindaraju
NPL
2006
113views more  NPL 2006»
13 years 8 months ago
A Back-propagation Neural Network Landmine Detector Using the Delta-technique and S-statistic
Landmines are a major problem facing the world today; there are millions of these deadly weapons still buried in various countries around the world. Humanitarian organizations dedi...
Taskin Koçak, Matthew Draper