Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Gaussian mixture model
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 9-Nov-2021 | Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model | Neera, J; Chen, X; Aslam, N; Wang, K; Shu, Z |
| 24-Apr-2020 | Temporal and spatial characteristics of multidimensional extreme precipitation indicators: A case study in the Loess plateau, China | Sun, C; Huang, G; Fan, Y |