Titlebook: Computational Intelligence, Cyber Security and Computational Models; Proceedings of ICC3, G. Sai Sundara Krishnan,R. Anitha,Manuel Graña Co

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Induction

PR-Evaluation in Wissenschaft und Praxis,epends on the prevalence of the disease in the immediate neighborhood. One approach to handling such linked data is “collective learning.” In collective learning, one deals with a set of data points taken at a time. The dependencies between the data points are modeled as a graph, with the nodes repr

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CRASS

,Modell für strategische PR-Evaluation,In the context of the famous Internet file size data of Crovella and some very recent data sets from a wireless mobility network, we examine the new class of LogPH distributions introduced by Ramaswami for modeling heavy-tailed random variables. The fits obtained are validated using separate trainin

LEVY

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浓缩

,Modell für strategische PR-Evaluation,ive of this paper is to identify the optimal subset of genes from the leukemia dataset in order to classify the leukemia cancer. Different clustering approaches such as .-means (KM) clustering, fuzzy .-means (FCM) clustering, and modified .-means (MKM) clustering have been adopted in this research.

xanthelasma

,Instrument für strategische PR-Evaluation,tion of roadside units (RSU) that takes part in communication between vehicular nodes is a challenging task because of the high mobility or dynamic nature of these networks. The nodes in the VANET whether stationary or moving are limited in terms of storage capacity, reliability, and energy. The mai

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expire

https://doi.org/10.1007/978-3-322-99607-7on in the presence of simultaneous sources of drift, other than sensor drift, should also be investigated, since it is often the case in practical situations. ELM is a competitive machine learning technique, which has been applied in different domains for classification. In this paper, ELM with diff