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Titlebook: The Indispensability of Phenomenology, Experiment and History; Life and Work of Joh René Van Hezewijk,Henderikus J. Stam Book 2024 The Edit

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2,: Shared Distributed Datasets, Storing Shared Data for Multiple and Massive Queries Optimization concurrent data access. The large number of users pose multiple query optimization problems. In a distributed data warehousing system such as Hadoop/Hive, queries are evaluated one at a time and processed with the MapReduce paradigm. The massive query execution usually overloads and slows down the e
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Untersuchungsmethoden der Mikrostruktur,chieden. Zu den Ersteren zählen insbesondere die Methoden zur direkten Beobachtung des Gefüges (Lichtmikroskopie, Elektronenmikroskopie) sowie die Beugung (von Röntgenstrahlen, Elektronen, Neutronen). Die Bestimmung der Atomart (Mikroanalyse) wird erwähnt, wenn sie im Zusammenhang mit dem Gefüge erf
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Early Stage Detection of Heart Failure Using Machine Learning Techniques (LR), Naive Bayes (NB), Random Forest (RF), Decision Tree (DT), Support Vector Machine (SVM), and k-Nearest Neighbor (k-NN) algorithms to predict heart attacks. A comparative study of the algorithmic performances is performed to identify the best algorithm that could be useful in the clinical decisions system.
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Sergej Seitz,Anke Graneß,Georg Stenger a more superior performance consistency, as well as better error rates with increasing number of trees, compared to conventional RF. Moreover, it outperforms all other state-of-the-art data mining algorithms in terms of false positive rate (0.076) and false negative rate (0.0028).
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N. Manoharan . Monte Carlo Time (2..)..Note that the Monte Carlo property of probabilistic algorithms is II.-complete. For diagonalization, however, an enumerable set of machines is required. For practical purposes the only interesting Monte Carlo algorithms are those which are provable in some reasonable theor
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