Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Ngo Van Linh"'
We demonstrate a machine learning approach designed to extract hidden chemistry/physics to facilitate new materials discovery. In particular, we propose a novel method for learning latent knowledge from material structure data in which machine learni
Externí odkaz:
http://arxiv.org/abs/2101.11902
Publikováno v:
In Neurocomputing 1 February 2021 424:143-159
Publikováno v:
IEEE Access, Vol 8, Pp 106395-106407 (2020)
In this work, we focus on dealing with a sparse users' feedback matrix and short descriptions/contents of items in recommender systems. We propose the Neural Poisson factorization (NPF) model which is a hybrid of deep learning and Poisson factorizati
Externí odkaz:
https://doaj.org/article/3fa5bcc93c4a4f74b268b25d65ef2d66
Publikováno v:
In International Journal of Approximate Reasoning September 2019 112:85-104
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:3742-3750
We consider how to effectively use prior knowledge when learning a Bayesian model from streaming environments where the data come infinitely and sequentially. This problem is highly important in the era of data explosion and rich sources of precious
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cc12575766db785c9829c99300defef
https://doi.org/10.1109/tkde.2021.3139469
https://doi.org/10.1109/tkde.2021.3139469
Publikováno v:
Neurocomputing. 468:345-359
Learning hidden topics from data streams has become absolutely necessary but posed challenging problems such as concept drift as well as short and noisy data. Using prior knowledge to enrich a topic model is one of potential solutions to cope with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb55026a7ec3ee44c592fe531d2f76a4
https://doi.org/10.1016/j.neucom.2021.10.047
https://doi.org/10.1016/j.neucom.2021.10.047
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 8, Pp 106395-106407 (2020)
In this work, we focus on dealing with a sparse users' feedback matrix and short descriptions/contents of items in recommender systems. We propose the Neural Poisson factorization (NPF) model which is a hybrid of deep learning and Poisson factorizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be88d6a6ea41ed2449d859b59e2df527
https://ieeexplore.ieee.org/document/9091827/
https://ieeexplore.ieee.org/document/9091827/
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031059322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044e39b413654edde7b3054a1fa2f305
https://doi.org/10.1007/978-3-031-05933-9_9
https://doi.org/10.1007/978-3-031-05933-9_9