Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Biyang Ma"'
Publikováno v:
IEEE Access, Vol 6, Pp 72506-72513 (2018)
The personalized recommendation model is widely applied and has achieved good results in many areas. However, considerable effort is still necessary in education-related recommendations. Therefore, based on a website platform for TOEFL and IELTS writ
Externí odkaz:
https://doaj.org/article/c63fc65ccd3442be8c3f2ca2d1bb53ed
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64e5d0d27969d02874d294be0ca1942c
https://doi.org/10.1109/tsmc.2023.3251223
https://doi.org/10.1109/tsmc.2023.3251223
Publikováno v:
Information Sciences. 582:495-508
Modelling other agents is one of the fundamental research challenges in multiagent decision making under uncertainty. A subject agent expects to optimise its own decisions by correctly modelling what other agents are going to act when they share a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf5b755afbda26811b5568f63b9a9837
https://doi.org/10.1016/j.ins.2021.09.039
https://doi.org/10.1016/j.ins.2021.09.039
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::360418cbd059fe1b3ccc1a7adfad44cc
https://doi.org/10.1109/tetci.2022.3229308
https://doi.org/10.1109/tetci.2022.3229308
Publikováno v:
Memetic Computing. 14:19-30
Modelling other agents is a challenging topic in artificial intelligence research particularly when a subject agent needs to optimise its own decisions by predicting their behaviours under uncertainty. Existing research often leads to a monotonic set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e84ce651c6621f966bdc5f5e2f36a083
https://doi.org/10.1007/s12293-021-00343-8
https://doi.org/10.1007/s12293-021-00343-8
Modelling other agents' behaviors plays an important role in decision models for interactions among multiple agents. To optimise its own decisions, a subject agent needs to model what other agents act simultaneously in an uncertain environment. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44321b5abe67191f29458de2a4ab54c4
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031149023
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48cfab842d33e496e6b5c7e631e7ee16
https://doi.org/10.1007/978-3-031-14903-0_19
https://doi.org/10.1007/978-3-031-14903-0_19
With the availability of significant amount of data, data-driven decision making becomes an alternative way for solving complex multiagent decision problems. Instead of using domain knowledge to explicitly build decision models, the data-driven appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9df2d973e572a79ea8bef8977ca25449
https://nrl.northumbria.ac.uk/id/eprint/46589/8/s10115-021-01600-5.pdf
https://nrl.northumbria.ac.uk/id/eprint/46589/8/s10115-021-01600-5.pdf
Publikováno v:
Expert Systems with Applications. 189:115969
Predictive state representation~(PSR) uses a vector of action-observation sequence to represent the system dynamics and subsequently predicts the probability of future events. It is a concise knowledge representation that is well studied in a single-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5404f8d88d689a973177f3132feabad3
https://doi.org/10.1016/j.eswa.2021.115969
https://doi.org/10.1016/j.eswa.2021.115969
Publikováno v:
IEEE Access, Vol 6, Pp 72506-72513 (2018)
The personalized recommendation model is widely applied and has achieved good results in many areas. However, considerable effort is still necessary in education-related recommendations. Therefore, based on a website platform for TOEFL and IELTS writ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4011ab60e6c5114ab32065b8b75a4a15
https://ieeexplore.ieee.org/document/8540346/
https://ieeexplore.ieee.org/document/8540346/