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» Learning Rules and Their Exceptions
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GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 1 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a...
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
AAAI
1993
14 years 11 months ago
Supporting and Optimizing Full Unification in a Forward Chaining Rule System
The Rete and Treat algorithms are considered the most efficient implementation techniques for Forward Chaining rule systems. These algorithms support a language of limited express...
Howard E. Shrobe
CAD
1999
Springer
14 years 9 months ago
The intersection of two ruled surfaces
This article presents an efficient and robust algorithm that computes the intersection curve of two ruled surfaces. The surface intersection problem is reformulated as a zero-set ...
Hee-Seok Heo, Myung-Soo Kim, Gershon Elber
101
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ECML
1993
Springer
15 years 1 months ago
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
Gilles Venturini
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...