Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zhinan GOU"'
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 44, Iss 1, Pp 20-28 (2023)
To solve the problem that traditional named entity recognition methods cannot effectively utilize entity boundary information, a named entity recognition method based on joint entity boundary detection was proposed. The method took entity boundary de
Externí odkaz:
https://doaj.org/article/bc9a3a5efaec4e2caee8f64cc3aa28e3
Publikováno v:
IEEE Access, Vol 7, Pp 94195-94204 (2019)
The diffusion-based algorithm is a promising member of the family of recommendation algorithms. It makes recommendations through the diffusion process on user-object bipartite graphs. However, a user’s taste is often influenced by his/her trusted f
Externí odkaz:
https://doaj.org/article/5305c91932cc48149d5dfe5fbc8a2479
Publikováno v:
IEEE Access, Vol 6, Pp 53102-53111 (2018)
Topic models are widely used in various fields of machine learning and statistics. Among them, the dynamic topic model (DTM) is the most popular time-series topic model for the dynamic representations of text corpora. A major challenge is that the po
Externí odkaz:
https://doaj.org/article/d9fdd0b85ae446f4ac6d3386c5e45de1
Publikováno v:
IEEE Access, Vol 6, Pp 64142-64152 (2018)
In order to address data sparsity, missing value, and over-fitting problems in a social tagging system, a coupled matrix and tensor factorization (CMTF) method named Tagrec-CMTF for tag recommendation is proposed in this paper. In the CMTF method, we
Externí odkaz:
https://doaj.org/article/46ccfb4fac144625a8db79214730b40d
Publikováno v:
Symmetry, Vol 11, Iss 2, p 163 (2019)
With the universal existence of mixed data with numerical and categorical attributes in real world, a variety of clustering algorithms have been developed to discover the potential information hidden in mixed data. Most existing clustering algorithms
Externí odkaz:
https://doaj.org/article/a96a685add7a45999409a0eec682d331
Autor:
Yan Li, Zhinan Gou
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 41:1701-1711
With the development of the web 2.0 communities, information retrieval has been widely applied based on the collaborative tagging system. However, a user issues a query that is often a brief query with only one or two keywords, which leads to a serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae4658b5edd7b8c352f53e613a435dc2
https://doi.org/10.3233/jifs-210508
https://doi.org/10.3233/jifs-210508
Publikováno v:
Multimedia Tools and Applications. 81:4621-4647
Deep Neural Network (DNN) models have lately received considerable attention for that the network structure can extract deep features to improve classification accuracy and achieve excellent results in the field of image. However, due to the differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97446b7dd700107cc7395c50dfb18b92
https://doi.org/10.1007/s11042-020-10465-9
https://doi.org/10.1007/s11042-020-10465-9
Publikováno v:
Expert Systems with Applications. 212:118805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b31f716f092217929db7ab938b604a88
https://doi.org/10.1016/j.eswa.2022.118805
https://doi.org/10.1016/j.eswa.2022.118805
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Topic modeling is a probabilistic generation model to find the representative topic of a document and has been successfully applied to various document-related tasks in recent years. Especially in the supervised topic model and time topic model, many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::855a196a01f9abd3ec4c35091e74d1ee
https://doaj.org/article/16d97a67370d40a7a0d1f45d9f613eee
https://doaj.org/article/16d97a67370d40a7a0d1f45d9f613eee
Publikováno v:
IEEE Access, Vol 7, Pp 94195-94204 (2019)
The diffusion-based algorithm is a promising member of the family of recommendation algorithms. It makes recommendations through the diffusion process on user-object bipartite graphs. However, a user's taste is often influenced by his/her trusted fri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef7a425ce62d207a4ccbc8d8008396a
https://doi.org/10.1109/access.2019.2928574
https://doi.org/10.1109/access.2019.2928574