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ICTAI
1999
IEEE
15 years 8 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
SEKE
1993
Springer
15 years 8 months ago
A Neural Net-Based Approach to Software Metrics
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limite...
Gary D. Boetticher, K. Srinivas, David Eichmann
FLAIRS
2003
15 years 5 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...
142
Voted
NC
2008
15 years 4 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
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 8 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass