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Titlebook: Research and Development in Intelligent Systems XVIII; Proceedings of ES200 Max Bramer,Frans Coenen,Alun Preece Conference proceedings 2002

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Optimising Association Rule Algorithms Using Itemset Orderinge ordering of items in the data, ai d our experiments show how this property can be used as an implement.etion heuristic. The results we show demonstrate the performance gain for our method in comparison with a benchmark alternative, and the further gain from using the ordering heuristic
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ADANNET: Automatic Design of Artificial Neural Networks by Evolutionary Techniquesor for real-coded genetic algorithms . been designed for adapting the network. Several experiments have been made to show that ADANNET obtains the smallest neural architecture that solves the given problem.
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Preprocessing Algorithms for non-binary Disjunctive Constraint Satisfactionrticipate in these non-binary disjunctive temporal constraints. Following, we can apply some of the techniques to solve this CSP. Thus, we can manage more complex and expressive constraints that many real problems must deal with.
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A Study of Autonomous Agent Navigation Algorithms in the ANIMAT Environmentness of the suggested algorithm is tested via practical experiments. In the experiments performed the algorithm has demonstrated its essential superiority over a classifier system with temporary memory.
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Knowledge Technologies: A ReUse PerspectiveEdinburgh, OU, Sheffield & Southampton. The project seeks to provide an intellectual underpinning for much of eCommerce, and at the same time it is contributing to the definition & realization of the Semantic Web. Six grand challenges have been identified, namely: Knowledge Acquisition, Modelling, U
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