Titlebook: Support Vector Machines and Evolutionary Algorithms for Classification; Single or Together? Catalin Stoean,Ruxandra Stoean Book 2014 Spring

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Cooperative Coevolutionups or species. From this viewpoint, evolution is actually coevolution. Coevolution can be competitive, cooperative or both. Similarly, in the evolutionary computational area, EAs have been also extended to coevolutionary architectures. These are interesting because they define the fitness evaluatio

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Evolutionary Algorithms Explaining Support Vector Learningacity behind their resulting discrimination [Huysmans et al, 2006]. As we have mentioned before, there aremany available implementations that offer the possibility to also extract the coefficients of the decision hyperplane (SVM light, LIBSVM). In Chap. 6 we have also presented an easy and flexible

Organization

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1868-4394 between the two, showing the benefits and drawbacks of each..When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite