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Titlebook: Computer and Information Sciences; 32nd International S Tadeusz Czachórski,Erol Gelenbe,Ricardo Lent Conference proceedings 2018 Springer N

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https://doi.org/10.1057/9780230239555epresented. The main focus of our method is to solve the problem of local undersampling that exists in hyperspectral data classification. Using several well-known Machine Learning and hyperspectral datasets, we show that our approach outperforms standard and distance-weighted kNN, especially for high values of ..
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Role/Professional Versus Ordinary Morality, and details regarding its operation are described. Using the implemented algorithm several multidomain IMS/NGN service stratum designs are performed for different data sets and their results are discussed.
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https://doi.org/10.1057/9780230239555ned by experiments conducted on real medical documents. The assessment of classification results, in terms of Classification Accuracy, F-Measure and Hamming Loss, obtained for the most popular multi-label classifiers: Binary Relevance, Classifier Chains and Label Powerset showed good potential of the proposed methodology.
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Design of a Multidomain IMS/NGN Service Stratum and details regarding its operation are described. Using the implemented algorithm several multidomain IMS/NGN service stratum designs are performed for different data sets and their results are discussed.
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1865-0929 n Poznan, Poland, in September 2018..The 29 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are dealing with the following topics: smart algorithms; data classification and processing; stochastic modelling; performance evaluation; queuing systems; w
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The Medical Doctor and a Condemned Prisoner,ctical system to accommodate the allocation algorithms and perform online measurement. The paper studies the potential of our proposed algorithms to deal with multi-class tasks in heterogeneous cloud environments and the experimental evaluations are also presented.
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