Titlebook: Genetic Programming; 10th European Confer Marc Ebner,Michael O’Neill,Anna Isabel Esparcia-Al Conference proceedings 2007 Springer-Verlag Be

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0302-9743 Overview: 978-3-540-71602-0978-3-540-71605-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-540-71605-1algorithm; algorithms; data mining; genetic programming; learning; optimization; programming; real-time; alg

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Data Collection in Fragile Stateshat exist in a problem environment by decomposition of the problem into a hierarchy of modules. As computer scientists and more generally as humans we tend to adopt a similar divide-and-conquer strategy in our problem solving. In this paper we consider the adoption of such a strategy for Genetic Alg

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https://doi.org/10.1007/b101863ct computational learning framework. Another practice that has developed in recent years consists in assessing the quality of evolutionary or genetic classifiers with Receiver Operating Characteristics (ROC) curves. Following the RankBoost algorithm by Freund et al., this article is a cross-bridge b

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Communication Codes and Error Control,onary system. No one specific measure is standard, but Koza’s computational effort statistic is frequently used [8]. In this paper the use of Koza’s statistic is discussed and a study is made of three methods that produce confidence intervals for the statistic. It is found that an approximate 95% co

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Advanced Ethernet Switching Technologies, expected. We propose two approaches to tackle this kind of many-to-one inversion problems, each of them based on the estimation, by a team of predictors, of a probability density of the expected outputs. In the first one, Stochastic Realisation GP, the predictors outputs are considered as the reali

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The Higher Layers of the Protocol Hierarchy,systems (IFS). We introduce a class of problem instances that can be used for the comparison of the inverse IFS problem as well as a novel technique that aids exploratory analysis of experiment data. Our comparison suggests that representations that exploit problem specific information, apart from q