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Titlebook: Handbuch des Technikrechts; Martin Schulte Book 20031st edition Springer-Verlag Berlin Heidelberg 2003 Biotechnologie.Computerrecht.Datens

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樓主: Sparkle
31#
發(fā)表于 2025-3-27 00:18:31 | 只看該作者
Wolfgang Hoffmann-Riem,Martin Eifert, hashtags) at a certain point of time. Inspection of the trends over several months reveals that while most of the trends are related to events in the off-line world, such as popular television shows, sports events, or emerging technologies, a significant fraction are . related to any topic / event
32#
發(fā)表于 2025-3-27 04:04:43 | 只看該作者
33#
發(fā)表于 2025-3-27 06:29:55 | 只看該作者
Johann Bizeraining data. Decision trees are known for their transparency and high expressivity. However, they are also notorious for their instability and tendency to grow excessively large. We present a classifier reverse engineering model that outputs a decision tree to interpret the black-box classifier. The
34#
發(fā)表于 2025-3-27 10:42:58 | 只看該作者
Hannes Federrath,Andreas Pfitzmannm, several spoiler detection models have been proposed. However, most of the previous models rely on hand-crafted domain-specific features, which limits the generalizability of the models. In this paper, we propose a new deep neural spoiler detection model that uses a genre-aware attention mechanism
35#
發(fā)表于 2025-3-27 16:40:39 | 只看該作者
Alexander Ro?nagely have problems of insufficient labeling and highly-complex temporal correlation, effectively detecting anomalies in multivariate time series data is particularly challenging. To solve this problem, we propose a model named Wasserstein-GAN with gradient Penalty and effective Scoring (WPS). In this m
36#
發(fā)表于 2025-3-27 19:35:36 | 只看該作者
37#
發(fā)表于 2025-3-28 01:19:21 | 只看該作者
38#
發(fā)表于 2025-3-28 05:53:42 | 只看該作者
39#
發(fā)表于 2025-3-28 09:36:15 | 只看該作者
40#
發(fā)表于 2025-3-28 13:35:09 | 只看該作者
Grundlagen des Patentrechtsversit?tsinstitute und andere vergleichbare Ausbildungseinrichtungen, die sich speziell mit patentrechtlichen Fragen befassten. Im Zuge der Umstrukturierung der ostdeutschen Hochschulen nach der Wiedervereinigung haben aber nur wenige von ihnen überlebt. Die Ursache für diese str?fliche Vernachl?ssi
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