Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Wenning Hao"'
Publikováno v:
Symmetry, Vol 15, Iss 9, p 1711 (2023)
Fuzzy neural networks have both the interpretability of fuzzy systems and the self-learning ability of neural networks, but they will face the challenge of “rule explosion” when dealing with high-dimensional data. Moreover, the structure and para
Externí odkaz:
https://doaj.org/article/9655697be3414ca1809f8aa1c13b9855
Publikováno v:
IEEE Access, Vol 7, Pp 42987-42992 (2019)
Co-occurrence information between words is the basis of training word embeddings; besides, Chinese characters are composed of subcharacters, words made up by the same characters or subcharacters usually have similar semantics, but this internal subst
Externí odkaz:
https://doaj.org/article/fcc86b0dd9504ac3b9dbb388954ac611
Publikováno v:
IEEE Access, Vol 7, Pp 155424-155436 (2019)
In order to solve the problem of lack of effective methods for ontology inconsistency, a user preferences-oriented ontology alignment repair model is proposed. This model uses 0-1 linear programming method to minimize the remove cost; the structure a
Externí odkaz:
https://doaj.org/article/530d123f443340f08f756174ef153da2
Publikováno v:
Pattern Analysis and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9c6a2aec0b4196964d5c30a5d9a3f1e
https://doi.org/10.1007/s10044-023-01161-z
https://doi.org/10.1007/s10044-023-01161-z
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:9259-9275
It is a challenge for existing artificial intelligence algorithms to deal with incomplete information of computer tactical wargames in military research, and one effective method is to take advantage of game replays based on data mining or supervised
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::781290be01a8a267d06541b247d659e4
https://doi.org/10.3233/jifs-201726
https://doi.org/10.3233/jifs-201726
Publikováno v:
2021 International Conference on Electronic Information Engineering and Computer Science (EIECS).
With the development of deep neural network, especially the emergence of large scale pre-trained language model, methods based on deep learning have substantially advanced the state of the art across a variety of subtasks in natural language processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::361dd582d90446a66eea9b6b8a0385ae
https://doi.org/10.1109/eiecs53707.2021.9587985
https://doi.org/10.1109/eiecs53707.2021.9587985
Publikováno v:
CSAI
Due to the application needs of some special scenarios, multi-instance learning problem has been paid more and more attention in recent years. Different from the traditional supervised learning problem, each example in the training set of multi-insta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24ba3fa5b089c28eac7c043f1ebc6093
https://doi.org/10.1145/3445815.3445822
https://doi.org/10.1145/3445815.3445822
Publikováno v:
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA).
Aiming at the needs of full-database retrieval of multi-table massive data, a general-purpose, lightweight, non-invasive full-database retrieval method was proposed and implemented. The JDBC technology was used to complete the content extraction of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812ca2f3575d1ec179643edac56936a7
https://doi.org/10.1109/icaica50127.2020.9182496
https://doi.org/10.1109/icaica50127.2020.9182496
Publikováno v:
IEEE Access, Vol 7, Pp 42987-42992 (2019)
Co-occurrence information between words is the basis of training word embeddings; besides, Chinese characters are composed of subcharacters, words made up by the same characters or subcharacters usually have similar semantics, but this internal subst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15b167dd561a65ab19b8b8d34ffa7bf4
https://ieeexplore.ieee.org/document/8675926/
https://ieeexplore.ieee.org/document/8675926/
Publikováno v:
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 11:434-442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2474ef87ab7c5554352c8863ad9a1074
https://doi.org/10.2174/2352096511666180213110615
https://doi.org/10.2174/2352096511666180213110615