Titlebook: Advances in Artificial Intelligence; 32nd Canadian Confer Marie-Jean Meurs,Frank Rudzicz Conference proceedings 2019 Springer Nature Switze

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https://doi.org/10.1007/978-3-8350-9367-6ens that deep learning models provide. Eventually, a bagged voting model was selected which combines the predictive power of the top eight models, with accuracy of 92.7%, surpassing the performance of any of the individual models.

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Andrea Gr?ppel-Klein,Dorothea Baunat optimizes the searching behaviour of user-item subgroups in CF. The proposed algorithm is experimented and compared with several state-of-the-art algorithms using benchmark datasets. Accuracy metrics such as precision, recall and mean average precision is used to find the top . recommended items.

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Andreas Herrmann,Ralf Jasny,Ingrid Vollmeralidate our idea using different datasets and show that our proposed approach yields better performance in terms of the BLEU score and Jensen-Shannon distance (JSD) measure compared to traditional GAN-based text generation approaches without pre-training.

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Branching in Colonial Hydroids,gent that learns optimal value functions for these in an initial phase and deploys the associated optimal policies as options in the main phase, can achieve a drastic reduction in cumulative regret compared to baseline approaches.

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Front Mattersondern vielmehr durch deren Zusammenwirken. Manche Kom- ponenten wirken stark aufeinander, andere nur schwach, weitere schlie?lich haben überhaupt nichts miteinander zu tun. Wir verwenden das Wort ‘System‘, um damit eine Anzahl von Bestandteilen abzugrenzen, die untereinander relativ stark, mit ihr

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Categorizing Emails Using Machine Learning with Textual Featuresnform decisions.Contains authored papers by scholars working.Public policy and management problems have been described as poorly defined, messy, squishy, unstructured, intractable, and wicked. In a word, they are complex. This book illustrates the development and use of simulation models designed to

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