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» On the Use of Evidence in Neural Networks
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ICTAI
1999
IEEE
15 years 11 months ago
Neural Data Mining for Credit Card Fraud Detection
The prevention of credit card fraud is an important application for prediction techniques. One major obstacle for using neural network training techniques is the high necessary di...
R. Brause, T. Langsdorf, Michael Hepp
FLAIRS
2003
15 years 8 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...
NC
2008
15 years 6 months ago
Top-Down modulation of neural responses in visual perception: a computational exploration
Visual perception is typically performed in the context of a task or goal. Nonetheless, visual processing has traditionally been conceptualized in terms of a fixed, task-independe...
Michael C. Mozer, Adrian Fan
IJON
2006
79views more  IJON 2006»
15 years 6 months ago
Fast computation with neural oscillators
This paper studies new spike-based models for winner-take-all computation and coincidence detection. In both cases, very fast convergence is achieved independent of initial condit...
Wei Wang 0008, Jean-Jacques E. Slotine
FSKD
2005
Springer
180views Fuzzy Logic» more  FSKD 2005»
16 years 3 days ago
An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information
Abstract. In the artificial neural networks (ANNs), feature selection is a wellresearched problem, which can improve the network performance and speed up the training of the networ...
Chunkai K. Zhang, Hong Hu