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Titlebook: Artificial Intelligence in China; Proceedings of the I Qilian Liang,Wei Wang,Bingcai Chen Conference proceedings 2020 Springer Nature Singa

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Battle Prediction System in StarCraft Combined with Topographic Considerations, factor is introduced to establish a mathematical model. Secondly, using SparCraft is to simulate battles and generate data sets. Finally, the maximum a posteriori probability estimation (MAP) is used to train the previously established data set to complete the parameter estimation of the mathematical model.
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Reorganisation Reader’s Digest Switzerlandrget detection datasets. Furthermore, we optimize the parameters of the DSVM algorithm to obtain better detection performance. It is compared with the stacked auto-encoder (SAE) and the support vector machine (SVM) algorithm. Finally, numerical experimental results show that the DSVM algorithm can effectively capture the minority class.
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Einführung zum Programmmanagementshort-term memory (LSTM) is connected to the pooling layer and full connection layer of convolutional neural network (CNN). Meanwhile, comment sentiment is added to rumor detection model as an important feature. The effectiveness of this method is verified by experiments.
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https://doi.org/10.1007/978-3-8349-9043-3bject localization or landmark by a neural network. And then I will give the detail of sliding windows detection algorithm and introduce how to use the convolutional implementation of sliding windows to speed up the process. Then we will introduce the transfer learning and how to prepare your own learning data for training networks.
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Conference proceedings 2020 for disseminating the latest advances and discussing the interactions and links between the various subfields of AI. Addressing topics that cover virtually all aspects of AI and the latest developments in China, the book is chiefly intended for undergraduate and graduate students in Electrical Engi
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