Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Nguyen, Duy Khuong"'
Graph neural networks (GNNs) have been widely applied in multi-variate time-series forecasting (MTSF) tasks because of their capability in capturing the correlations among different time-series. These graph-based learning approaches improve the forec
Externí odkaz:
http://arxiv.org/abs/2306.17090
Autor:
Nguyen, Tam, Nguyen, Tan M., Le, Dung D., Nguyen, Duy Khuong, Tran, Viet-Anh, Baraniuk, Richard G., Ho, Nhat, Osher, Stanley J.
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and computer vision tasks. It has been observed that for many applications, those
Externí odkaz:
http://arxiv.org/abs/2110.08678
Autor:
Hoang, Van-Truong, Tran, Khanh-Tung, Vu, Xuan-Son, Nguyen, Duy-Khuong, Bhuyan, Monowar, Nguyen, Hoang D.
Publikováno v:
In AI Open 2024 5:115-125
Autor:
Nguyen, Duy Khuong, Ho, Tu Bao
Nonnegative Matrix Factorization (NMF) with Kullback-Leibler Divergence (NMF-KL) is one of the most significant NMF problems and equivalent to Probabilistic Latent Semantic Indexing (PLSI), which has been successfully applied in many applications. Fo
Externí odkaz:
http://arxiv.org/abs/1604.04026
Autor:
Nguyen, Duy-Khuong, Ho, Tu-Bao
Nonnegative matrix factorization (NMF) is a powerful technique for dimension reduction, extracting latent factors and learning part-based representation. For large datasets, NMF performance depends on some major issues: fast algorithms, fully paralle
Externí odkaz:
http://arxiv.org/abs/1506.08938
Autor:
Nguyen, Duy Khuong, Ho, Tu Bao
Non-negative least squares (NNLS) problem is one of the most important fundamental problems in numeric analysis. It has been widely used in scientific computation and data modeling. In big data, the limitations of algorithm speed and accuracy are typ
Externí odkaz:
http://arxiv.org/abs/1502.01645
Publikováno v:
In Neurocomputing 2 September 2014 139:397-407
Publikováno v:
PROCEEDINGS OF THE 14TH NATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED INFORMATION TECHNOLOGY RESEARCH.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35f141806b87fa9513ab65056d8b3109
https://doi.org/10.15625/vap.2021.0041
https://doi.org/10.15625/vap.2021.0041
Autor:
Tae-Young Jung, Ju-Hwi Kim, Woo-Youl Jang, Kyung-Sub Moon, Won-Ju Park, In-Young Kim, Shin Jung, Le Nguyen Duy Khuong
Publikováno v:
World neurosurgery. 118
Objectives We report the surgical outcome of trigonal meningiomas through 3 different approaches with attention to visual outcomes. Methods Between 1994 and 2017, 23 patients underwent resection of trigonal meningiomas. We performed tumor removal usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23cd64764efc2dec9d8d171b151d7d15
https://pubmed.ncbi.nlm.nih.gov/29981465
https://pubmed.ncbi.nlm.nih.gov/29981465
Publikováno v:
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 ISBN: 9783319569932
This paper proposes an auto-pricing system, known as Fast-and-Fit. This system is intended for travel online agencies, who always aim at varying the ticket prices to optimize the possible revenue. This system is developed based on the two following i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fcd7ee37b453e95a8877d35d5ad09d1
https://doi.org/10.1007/978-3-319-56994-9_58
https://doi.org/10.1007/978-3-319-56994-9_58