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Titlebook: Handbuch Unternehmenssicherheit; Umfassendes Sicherhe Klaus-Rainer Müller Book 20102nd edition Vieweg+Teubner Verlag | Springer Fachmedien

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發(fā)表于 2025-3-25 04:36:25 | 只看該作者
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發(fā)表于 2025-3-25 11:17:34 | 只看該作者
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發(fā)表于 2025-3-25 14:35:02 | 只看該作者
Klaus-Rainer Müllers, for example, the design of new structures and compositions of molecules for therapeutic drugs. Much of the existing work related to the application of RL to scientific domains, however, assumes that the available state representation obeys the Markov property. For reasons associated with time, co
24#
發(fā)表于 2025-3-25 17:38:13 | 只看該作者
Klaus-Rainer Müllere set of labelled examples can be costly and time-consuming. Active learning algorithms try to reduce this labelling cost by performing a small number of label-queries from a large set of unlabelled examples during the process of building a classifier. However, the level of performance achieved by a
25#
發(fā)表于 2025-3-25 20:37:38 | 只看該作者
Klaus-Rainer Müllergies have been proposed, although the evaluation with real label proportions data has hardly been explored. This paper proposes an adaptation of the area under the precision-recall curve metric to the problem of learning from label proportions. The actual performance is bounded by minimum and maximu
26#
發(fā)表于 2025-3-26 02:32:22 | 只看該作者
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發(fā)表于 2025-3-26 05:53:03 | 只看該作者
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發(fā)表于 2025-3-26 08:47:24 | 只看該作者
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發(fā)表于 2025-3-26 16:35:35 | 只看該作者
30#
發(fā)表于 2025-3-26 18:05:42 | 只看該作者
Klaus-Rainer Müllers to expedite effective services and development (e.g., public health care). This research proposes a randomization algorithm for data sanitization that satisfies .-differential privacy to publish privacy preserving data. The proposed algorithm has been implemented, and tested with two different dat
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