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IJCAI
2007
9 years 3 months ago
Extracting Propositional Rules from Feed-forward Neural Networks - A New Decompositional Approach
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
Sebastian Bader, Steffen Hölldobler, Valentin...
IJCAI
1997
9 years 2 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
CORR
2010
Springer
150views Education» more  CORR 2010»
9 years 1 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
JEI
2008
109views more  JEI 2008»
9 years 4 days ago
New approach for liveness detection in fingerprint scanners based on valley noise analysis
Recent research has shown that it is possible to spoof a variety of fingerprint scanners using some simple techniques with molds made from plastic, clay, Play-Doh, silicon, or gela...
Bozhao Tan, Stephanie A. C. Schuckers
IJNSEC
2006
132views more  IJNSEC 2006»
9 years 1 months ago
Alert Correlation for Extracting Attack Strategies
Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend ...
Bin Zhu, Ali A. Ghorbani
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