Projects funded by the NCN
Computational methods for high dimensional statistical learning
2018/31/B/ST1/00253
Keywords:
Monte Carlo methods sparse modelling stochastic approximation Langevin Monte Carlo multilabel classification Bayesian networks
Descriptors:
- ST1_13: Probability and statistics
- ST1_17: Applied mathematics
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST1 - Mathematics: all areas of mathematics, pure and applied, as well as mathematical foundations of computer science, physics and statistics
Host institution :
Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 5
Call: OPUS 16 - announced on 2018-09-14
Amount awarded: 663 600 PLN
Project start date (Y-m-d): 2019-07-04
Project end date (Y-m-d): 2024-07-03
Project duration:: 36 months (the same as in the proposal)
Project status: Project completed
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.