Projects funded by the NCN
Theoretical foundation of resilient feature selection methods that ensure predictive model operation in case of partial data loss
2018/31/N/ST6/00610
Keywords:
resilient feature selection rough sets data analytics data mining
Descriptors:
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 3
Call: PRELUDIUM 16 - announced on 2018-09-14
Amount awarded: 190 900 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
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