Titlebook: Recent Issues in Pattern Analysis and Recognition; Virginio Cantoni,Reiner Creutzburg,G. Wolf Book 1989 Springer-Verlag Berlin Heidelberg

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Mario Lucertini,Yehoshua Perl,Bruno Simeoneablished dynamic approaches, were separately searching for new approaches to economics. To our surprise and joy,as many as 500members, including graduate students,joined us. Later that year Prof. Horst Hanusch, then President of the International [oseph A. Schumpeter Society, remarked that such a st

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Vladimir Kovalevskir, I situate the knowledge from the data presented in the previous chapters and summarise the lessons learned as well as the directions for the future of RRM. We found that the methods that were designed and tested by this theory are useful and fit for purpose, which means that they can be taken fur

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M. Gössel,J. Saedlerd reciprocity. In this chapter, I unpack the neurophysiological mechanisms that are responsible for us showing these behaviours. Positive reciprocity mainly relies on the ventromedial prefrontal cortex (VMPFC) and the anterior cingulate cortex (ACC). In contrast, even though negative reciprocity als

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Reiner Creutzburg,Evgeni Ivanov of documents that make pattern recognition, information retrieval, and text mining more complicated. This problem is known as a text clustering problem (TCD). Several metaheuristic optimization algorithms have been adapted to address TDC optimally. A new efficient metaheuristic optimization algorit

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Paola Bertolazzi,Concettina Guerra,Silvio Salzafrom three domains are discussed, all of which are necessary.This book presents a unified framework, based on specialized evolutionary algorithms, for the global induction of various types of classification and regression trees from data. The resulting univariate or oblique trees are significantly s

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