Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jun Kai Yi"'
Autor:
Jun-Kai Yi, Yi-Fan Yao
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 6955 (2024)
With the advent of Transformer-based generative AI, there has been a surge in research focused on large-scale generative language models, especially in natural language processing applications. Moreover, these models have demonstrated immense potenti
Externí odkaz:
https://doaj.org/article/ee64d7b74fd74ed59e7f1e522d4c50a1
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Based on Bayesian classification algorithm principle and implementation, propose an improved method of the algorithm. Firstly, instead of constant probability of spam, actual priori probability is used. Secondly, the selective range and rule of token
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b025485efa8b4bf147dc6b23057da77
https://doi.org/10.12783/dtcse/aice-ncs2016/5707
https://doi.org/10.12783/dtcse/aice-ncs2016/5707
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
Mining important persons is significant to network security and computer forensics nowadays in researches on email network centralization. Traditional PageRank algorithm is prone to be affected by interferential nodes because it distributes PR values
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b2adcbfa9338664be57339782e8c47
https://doi.org/10.12783/dtcse/aice-ncs2016/5704
https://doi.org/10.12783/dtcse/aice-ncs2016/5704
Autor:
Jun Kai Yi, Xue Jiang
Publikováno v:
Applied Mechanics and Materials. :1885-1891
Bayesian filtering approach is widely used in the field of anti-spam now. However, the two assumptions of this algorithm are significantly different with the actual situation so as to reduce the accuracy of the algorithm. This paper proposes a detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac15dc6ac012aad8e275303191bfbef
https://doi.org/10.4028/www.scientific.net/amm.401-403.1885
https://doi.org/10.4028/www.scientific.net/amm.401-403.1885
Publikováno v:
Advanced Materials Research. :961-966
In this paper, by using skin-color feature, especial location and pixel features of eyes in face area, an efficient face detection algorithm was designed. After face detection, discrete cosine Transform (DCT) was used to extract a set of observation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbaadfd7005561428bf3b75ca7d4f81d
https://doi.org/10.4028/www.scientific.net/amr.271-273.961
https://doi.org/10.4028/www.scientific.net/amr.271-273.961
Publikováno v:
Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81521c6097c8267961a4718d19cc8b4b
https://doi.org/10.2991/icacsei.2013.65
https://doi.org/10.2991/icacsei.2013.65
Autor:
Yi, Jun-Kai, Yao, Yi-Fan
Publikováno v:
Applied Sciences (2076-3417); Aug2024, Vol. 14 Issue 16, p6955, 15p