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Titlebook: Intelligent Information and Database Systems; 13th Asian Conferenc Ngoc Thanh Nguyen,Suphamit Chittayasothorn,Bogdan Conference proceeding

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UVDS: A New Dataset for Traffic Forecasting with Spatial-Temporal Correlationprovide a benchmark dataset for exploring the capabilities of graph neural networks for traffic forecasting. Consequently, we present baseline results by adopting state-of-the-art models in this research field and discuss some future work for exploring the UVDS dataset.
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Mixture-Based Unsupervised Learning for Positively Correlated Count Datamponents in the mixture. To evaluate the clustering performance of the proposed model, three real-world applications are considered, namely, COVID-19 analysis, Web page clustering and facial expression recognition.
发表于 2025-3-27 09:17:55 | 显示全部楼层
Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Modely estimate the parameters and select the number of components. Experiments on real-world applications including breast cancer detection and image categorization demonstrate the superior performance of our proposed model.
发表于 2025-3-27 10:10:10 | 显示全部楼层
Parallelization of Reinforcement Learning Algorithms for Video Gamesn class of Reinforcement Learning algorithms - value based (Deep-Q-Network) and policy based (Proximal Policy Optimization). Our results validate the approach of using GPU for environment emulation in Reinforcement Learning algorithms and give insight into convergence properties and performance of those algorithms.
发表于 2025-3-27 13:46:58 | 显示全部楼层
https://doi.org/10.1007/978-3-030-73280-6artificial intelligence; computational linguistics; computer vision; data mining; data security; image pr
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978-3-030-73279-0Springer Nature Switzerland AG 2021
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Intelligent Information and Database Systems978-3-030-73280-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
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