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1كتاب إلكتروني
المؤلفون: Phan, HoangAff13, Aff14, Tuan, Anh PhanAff13, Nguyen, SonAff13, Aff14, Linh, Ngo VanAff13, Than, KhoatAff13
المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Gama, João, editorAff7, Li, Tianrui, editorAff8, Yu, Yang, editorAff9, Chen, Enhong, editorAff10, Zheng, Yu, editorAff11, Teng, Fei, editorAff12
المصدر: Advances in Knowledge Discovery and Data Mining : 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I. 13280:106-117
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2دورية أكاديمية
المؤلفون: Tran, Quyen, Tran, Lam, Hai, Linh Chu, Linh, Ngo Van, Than, Khoat
المصدر: In Neurocomputing 28 March 2022 479:89-105
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3دورية أكاديمية
المؤلفون: Linh, Ngo Van, Bach, Tran Xuan, Than, Khoat
المصدر: In Neurocomputing 11 January 2022 468:345-359
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4دورية أكاديمية
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المؤلفون: Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than
المصدر: Neurocomputing. 505:30-43
مصطلحات موضوعية: Artificial Intelligence, Cognitive Neuroscience, Computer Science Applications
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المؤلفون: Hieu Man, Nghia Trung Ngo, Linh Ngo Van, Thien Huu Nguyen
المصدر: Proceedings of the AAAI Conference on Artificial Intelligence. 36:11058-11066
مصطلحات موضوعية: General Medicine
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fff8ce4f79aa061ba52c449f41805fb7
https://doi.org/10.1609/aaai.v36i10.21354 -
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المؤلفون: Linh Ngo Van, Nam Le Hai, Hoang Pham, Khoat Than
المصدر: Advances in Knowledge Discovery and Data Mining ISBN: 9783031059322
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1b48341ad2531bcd8611ef64bf47104f
https://doi.org/10.1007/978-3-031-05933-9_2 -
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المؤلفون: Khoat Than, Bach Tran, Linh Ngo Van, Thien Huu Nguyen, Anh Phan Tuan
المصدر: Knowledge and Information Systems. 62:4055-4090
مصطلحات موضوعية: FOS: Computer and information sciences, Hierarchical Dirichlet process, Computer Science - Machine Learning, Computer science, Inference, Machine Learning (stat.ML), Context (language use), 02 engineering and technology, computer.software_genre, Latent Dirichlet allocation, Machine Learning (cs.LG), symbols.namesake, Statistics - Machine Learning, Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, business.industry, Probabilistic logic, Statistical model, Human-Computer Interaction, Hardware and Architecture, Bag-of-words model, symbols, Artificial intelligence, business, Streaming algorithm, computer, Software, Natural language processing, Information Systems
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المؤلفون: Khoat Than, Linh Ngo Van, Cuong Ha, Van-Dang Tran
المصدر: International Journal of Approximate Reasoning. 112:85-104
مصطلحات موضوعية: Topic model, Generalization, Computer science, business.industry, Applied Mathematics, Probabilistic logic, 02 engineering and technology, Overfitting, Noisy text, Semantics, Machine learning, computer.software_genre, Latent Dirichlet allocation, Theoretical Computer Science, symbols.namesake, Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Software, Dropout (neural networks)
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المؤلفون: Khoat Than, Duc-Tung Nguyen, Linh Ngo Van, Van-Son Nguyen
المصدر: IEEE BigData
مصطلحات موضوعية: Computer science, business.industry, Data stream mining, Bayesian probability, Stability (learning theory), Context (language use), 02 engineering and technology, 010501 environmental sciences, Overfitting, Machine learning, computer.software_genre, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Dropout (neural networks), 0105 earth and related environmental sciences, Sparse matrix
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fbaf2531d47901e389878c794e8ba553
https://doi.org/10.1109/bigdata47090.2019.9005544