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This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning.
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The book covers several entity and relation extraction techniques starting from the traditional feature-based techniques to the recent techniques using deep neural models.
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This open access book introduces Vector semantics, which links the formal theory of word vectors to the cognitive theory of linguistics.
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This book is a collection of best selected papers presented at the Fourth International Conference on Inventive Computation and Information Technologies (ICICIT 2022), organized during August 25–26, 2022.
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It sheds light on fundamental questions, such as a) How the complexity of Arabic as a cursive scripts can be demonstrated... Læs mere
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Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation.
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The third part presents various work based on the probability principle, including dual supervised learning and dual inference based on the joint-probability principle and dual semi-supervised learning based on the marginal-probability principle.
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