Titlebook: Relational Processes in Counselling and Psychotherapy Supervision; Ottar Ness,Sheila McNamee,Øyvind Kvello Textbook 2021 The Editor(s) (if

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Ottar Ness,Sheila McNamee,Øyvind Kvelloatics, crude oil analysis, market segmentation, document categorization, and web mining. The need for organizing data into categories of similar objects has made the task of clustering very important to these domains. In this context, there has been an increasingly interest in the study of evolution

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John Burnham,Barbara McKayore specialized techniques on a variety of tasks. In data mining, GP has successfully been applied to most major tasks; e.g. classification, regression and clustering. In this chapter, we introduce, describe and evaluate a straightforward novel algorithm for post-processing genetically evolved decis

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Sheila McNamee,Julie Tilsenatics, crude oil analysis, market segmentation, document categorization, and web mining. The need for organizing data into categories of similar objects has made the task of clustering very important to these domains. In this context, there has been an increasingly interest in the study of evolution

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Øyvind Kvellotional Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databas

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Philip Messent,Reenee Singhoncerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics

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Øyvind Kvellocost functions reasonably, we do research on two GED algorithms without cost function definition: the first is combining edge direction histogram (EDH) and earth mover’s distance (EMD) to estimate the GED; the second is introducing hidden Markov model (HMM) and Kullback-Leibler distance (KLD) into G

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