Titlebook: Vertragliche Schuldverh?ltnisse; Hartmut Oetker,Felix Maultzsch Textbook 20042nd edition Springer-Verlag Berlin Heidelberg 2004 Auftrag.Di

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d of Natural Language Processing (.). However, despite the advantages of this architecture, it has some negative factors, such as the high number of parameters it uses. That is why the use of this type of architecture can become expensive for research teams with limited resources. New variants have

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t valid responses. In this paper, we present and expand upon ., a response scoring method that capitalizes on this fundamental linguistic property. We envision a conversation as a set of trajectories through embedding space. Our method leverages the analogical structure encoded within language model

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rategies. The CNN is trained independently on different bootstrapped samples (bags) of the training data, and the predictions are aggregated using majority voting to obtain the final classification result of the deep bagging ensemble. The BreakHis dataset, encompassing four magnification factors (40

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ld at the 2nd International Joint Conference on Autonomous Agents and Multi-agentSystems(AAMAS2003),July14,2003,Melbourne,Australia.Apart from revised versions of the accepted workshop papers, we have included invited contributions from leading experts in the ?eld. With this, the present volume repr