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Titlebook: Hybrid Artificial Intelligence Systems; 9th International Co Marios Polycarpou,André C. P. L. F. Carvalho,Emili Conference proceedings 2014

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發(fā)表于 2025-3-28 16:27:21 | 只看該作者
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Patrick G. Clark,Jerzy W. Grzymala-Bussewithin the epistemological debate. Finally, we want to link big data to the information society by means of explaining how we, in this book, will take a more holistic view and how the information society interacts with other fundamental changes within our society.
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Rimah Amami,Dorra Ben Ayed,Nouerddine Ellouzess. For the network structure, the width and depth of the network are adjusted, the amount of parameters of the model is compressed. The training process is divided into the first, middle and last three stages to improve the detection performance of the model without adding extra computation. Taking
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Incorporating Belief Function in SVM for Phoneme Recognitione is used in order to strengthen the class membership of the tested phoneme. Hence, we introduce a reformulation of the standard SVM that incorporates the degree of belief. Experimental performance on TIMIT database shows the effectiveness of the proposed method B-SVM on a phoneme recognition proble
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creasingly playing a bigger and more important role in our daily lives. However, despite the critical importance of data quality in such services, issues related to data quality degradation persist over time due to the exponential growth of data and increased management factors associated with the a
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Alexandre Savio,Darya Chyzhyk,Manuel Gra?ate or app is displayed. Use of big data is strategic for OTAs as it could allow these companies to gain a competitive advantage and reduce their costs. The results from the empirical research carried out specifically for this chapter reveal that OTAs use big data extensively throughout the entire cu
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