Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Dash, Manoranjan"'
Publikováno v:
Journal of Organizational Ethnography, 2024, Vol. 13, Issue 1, pp. 116-134.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JOE-12-2023-0070
In text mining, topic models are a type of probabilistic generative models for inferring latent semantic topics from text corpus. One of the most popular inference approaches to topic models is perhaps collapsed Gibbs sampling (CGS), which typically
Externí odkaz:
http://arxiv.org/abs/2301.12974
Autor:
DASH, MANORANJAN1, BAKSHI, KRUSHNA CHANDRA2, DAS, GANESWAR2, PATNAIK, JYOTI1, PRADHAN, SWETAPADMA3 spswetapadmapradhan@gmail.com
Publikováno v:
Journal of Clinical & Diagnostic Research. Oct2024, Vol. 18 Issue 10, p5-10. 6p.
Autor:
Dutta, Tushar K., Akhil, Voodikala S., Kundu, Artha, Dash, Manoranjan, Phani, Victor, Sirohi, Anil, Somvanshi, Vishal S.
Publikováno v:
In Heliyon 29 February 2024 10(4)
Autor:
Panigrahi, Amrutanshu, Pati, Abhilash, Dash, Bibhu, Sahoo, Ghanashyam, Singh, Debabrata, Dash, Manoranjan
Publikováno v:
In Procedia Computer Science 2024 235:1943-1952
Autor:
Bihari, Anshita, Dash, Manoranjan, Kar, Sanjay Kumar, Muduli, Kamalakanta, Kumar, Anil, Luthra, Sunil
Publikováno v:
International Journal of Industrial Engineering and Operations Management, 2022, Vol. 4, Issue 1/2, pp. 19-43.
Bayesian graphical models have been shown to be a powerful tool for discovering uncertainty and causal structure from real-world data in many application fields. Current inference methods primarily follow different kinds of trade-offs between computa
Externí odkaz:
http://arxiv.org/abs/1802.06526
Publikováno v:
Tanzania Journal of Health Research; Jul2024, Vol. 25 Issue 3, p1094-1106, 13p
Publikováno v:
In Applied Soft Computing Journal June 2020 91
Autor:
Dash, Manoranjan, Londhe, Narendra D. *, Ghosh, Subhojit, Shrivastava, Vimal K., Sonawane, Rajendra S.
Publikováno v:
In Computational Biology and Chemistry June 2020 86