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» Coevolutionary Algorithm For Rule Induction
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ENTCS
2007
85views more  ENTCS 2007»
14 years 9 months ago
Inducing Constructor Systems from Example-Terms by Detecting Syntactical Regularities
We present a technique for inducing functional programs from few, well chosen input/output-examples (I/Oexamples). Potential applications for automatic program or algorithm induct...
Emanuel Kitzelmann, Ute Schmid
ML
2000
ACM
154views Machine Learning» more  ML 2000»
14 years 9 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
JSAI
2005
Springer
15 years 3 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
ICCBR
2001
Springer
15 years 2 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
IJCNN
2008
IEEE
15 years 4 months ago
A quantum calculus formulation of dynamic programming and ordered derivatives
— Much recent research activity has focused on the theory and application of quantum calculus. This branch of mathematics continues to find new and useful applications and there ...
John Seiffertt, Donald C. Wunsch