Titlebook: Handbuch Urheberrecht; Marcel Bisges Book 2022Latest edition Erich Schmidt Verlag GmbH & Co. KG 2022 Urheberrecht.Urheberpers?nlichkeitsre

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Marcel Bisges LL. M. study of emotion in the realm of Artificial Intelligence is not totally new (Simon, Minsky and Sloman and Croucher), much more attention has been recently devoted to this subject by several researchers (Picard, Velasquez, Wright). This renewed effort is being motivated by trends in neuroscience (Da

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Marcel Bisges LL. M.s that are processed on a number of processors. Exact algorithms like branch and bound have proven to be impractical for the MPTTP, leaving stochastic local search (SLS) algorithms as the main alternative to find high-quality schedules. Among the available SLS techniques, iterated local search (ILS)

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Marcel Bisges LL. M.le text-based online discussions. The ultimate goal is to develop an automated facilitation agent that is able to extract discussion structures from large-scale online discussions. Towards this end, we adopt the issue-based information system (IBIS), as a suitable format for structuring online discu

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Marcel Bisges LL. M.mporal modeling, since they are well suited to model sequences of two-dimensional inputs. Similar to conventional RNNs, the introduction of gating architecture, such as ConvLSTM, brings additional parameters and increases the computational complexity. The computation load can be an obstacle in train

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f capturing their information. Various graph-based techniques exist that report on the characteristics of nodes and edges, e.g., author-citation networks, social interactions, and so on. A significant amount of information can be extracted by summarizing the surrounding network structure of nodes, e

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https://doi.org/10.37307/b.978-3-503-21129-6Urheberrecht; Urheberpers?nlichkeitsrecht; Verwertungsrechte; Nutzungsrechte; Urheberrechtsschranken

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Handbuch Urheberrecht978-3-503-21129-6Series ISSN 1865-4185 Series E-ISSN 2731-8478