Titlebook: Artificial Intelligence Applications and Innovations; 14th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagia Conference pr

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John M. McCann,John P. Gallagher as efficiently as possible. The predicted texts are understandable enough, and their performance depends on the problem difficulty, determined by the percentage of full text words that are considered as keywords (ranging from 1/3 to 1/2), and the training memory cost, mainly affected by the network architecture.

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Keywords-To-Text Synthesis Using Recurrent Neural Network as efficiently as possible. The predicted texts are understandable enough, and their performance depends on the problem difficulty, determined by the percentage of full text words that are considered as keywords (ranging from 1/3 to 1/2), and the training memory cost, mainly affected by the network architecture.

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Conference proceedings 2018rning, regression, classification; neural networks; medical intelligence; recommender systems; optimization; learning, intelligence; heuristic approaches, cloud; fuzzy; and human and computer interaction, sound, video, processing..

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1868-4238 achine learning, regression, classification; neural networks; medical intelligence; recommender systems; optimization; learning, intelligence; heuristic approaches, cloud; fuzzy; and human and computer interaction, sound, video, processing..978-3-030-06347-4978-3-319-92007-8Series ISSN 1868-4238 Series E-ISSN 1868-422X

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Artificial Intelligence Applications and Innovations14th IFIP WG 12.5 In