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» On the Use of Evidence in Neural Networks
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ISMB
1994
15 years 8 months ago
DNA Sequence Analysis Using Hierarchical ART-based Classification Network
Adaptive resonance theory (ART)describes a class of artificial neural networkarchitectures that act as classification tools whichself-organize, workin realtime, and require no ret...
Cathie LeBlanc, Charles R. Katholi, Thomas R. Unna...
IAJIT
2010
99views more  IAJIT 2010»
15 years 5 months ago
Hybrid computing algorithm in representing solid model
: This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm contains two steps namely reconstruction and represent...
Muhammad Matondang, Habibollah Haron
ESANN
1997
15 years 8 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ACSAC
2010
IEEE
15 years 4 months ago
Forenscope: a framework for live forensics
Current post-mortem cyber-forensic techniques may cause significant disruption to the evidence gathering process by breaking active network connections and unmounting encrypted di...
Ellick Chan, Shivaram Venkataraman, Francis M. Dav...
FLAIRS
2007
15 years 9 months ago
System Diagnosability Analysis Using p-slop MAP
Researchers have reported successful deployments of diagnosis decision support systems based on Bayesian networks. However, the methodology for evaluating the diagnosability for s...
Tsai-Ching Lu, K. Wojtek Przytula