Titlebook: Advances in Artificial Intelligence; 17th Conference of t Oscar Luaces ,José A. Gámez,Emilio Corchado Conference proceedings 2016 Springer

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Brain and Behavior in Child Psychiatryss binarization techniques which transforms the multiclass problem into a series of binary problems which are solved individually. Then, the resultant predictions are combined to obtain a final solution. A question arises: should the same classification algorithm be used on all binary subproblems? O

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https://doi.org/10.1007/978-3-642-49168-9, there are many indexes available, and they perform inconsistently scoring different partitions over a given dataset. The aim of the study carried out is the analysis of seventeen CVIs to get a common understanding of its nature, and proposing an efficient strategy for validating a given clustering

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Conscious Experience and Memory,ly used paradigm for clusters deployment and big data management. However, to get started is still a very tough task, due to the excessive requisites that all nodes must fulfil. Thus, this work introduces a web service specifically designed for an easy and efficient Spark cluster management. In part

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Sensory Mechanisms in Perception,rithms include a method that is used to calculate this number. Unfortunately, this measurement presents a lack of precision because it only takes into account a sum of intra-cluster distances misleading the results. Moreover, this measurement has not been well-contrasted in previous researches about

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/146703.jpg

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https://doi.org/10.1385/1592598439reflectance retinographies. The methodology provided promising results, indicating an acceptable accuracy in a complex domain as is the vessel tree identification. It provides a coherent 2D vessel tree extraction with the corresponding depth estimations that constitute a scenario with high potential