Titlebook: Machine Learning and Data Mining in Pattern Recognition; 11th International C Petra Perner Conference proceedings 2015 Springer Internation

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Learning Heuristics to Reduce the Overestimation of Bipartite Graph Edit Distance Approximation Yet, the high representational power of graphs is also accompanied by an increased complexity of the associated algorithms. Exact graph similarity or distance, for instance, can be computed in exponential time only. Recently, an algorithmic framework that allows graph dissimilarity computation in c

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Local and Global Genetic Fuzzy Pattern Classifierst robust classifier model. The fuzzy pattern classifier is parametric giving the choice of fuzzy membership function and fuzzy aggregation operator. Several methods for estimation of appropriate fuzzy membership functions and fuzzy aggregation operators have been suggested, but considering only fuzz

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