Projects funded by the NCN
Development of algorithms for all relevant feature selevtion using machine learning methods
2013/09/B/ST6/01550
Keywords:
feature selection machine learning classification
Descriptors:
- ST6_11:
- ST6_7:
- ST6_6:
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Uniwersytet Warszawski, Interdyscyplinarne Centrum Modelowania Matematycznego i Komputerowego
woj. mazowieckie
Principal investigator (from the host institution):
dr hab. Witold Remigiusz Rudnicki
Number of co-investigators in the project: 8
Call: OPUS 5 - announced on 2013-03-15
Amount awarded: 501 860 PLN
Project start date (Y-m-d): 2014-02-17
Project end date (Y-m-d): 2016-10-16
Project duration:: 32 months (the same as in the proposal)
Project status: Project settled
Equipment purchased [PL]
- Wysokiej klasy karta graficzna zgodna z technologią CUDA (7 000 PLN)
- Karta akceleratora obliczeniowego Intel Xeon Phi (24 000 PLN)
- Mobilna stacja robocza dla Kierownika Projektu, zgodna z systemem MacOS X (1 487 PLN)
Information in the final report
- Publication in academic press/journals (3)
- All-relevant feature selection using multidimensional filters with exhaustive searchAuthors:Krzysztof Mnich, Witold R. RudnickiAcademic press:Information Sciences (rok: 2020, tom: 524, strony: 277-297), Wydawca: ElsevierStatus:PublishedDOI:10.1016/j.ins.2020.03.024 - link to the publication
- MDFS: MultiDimensional Feature Selection in RAuthors:Radosław Piliszek, Krzysztof Mnich, Szymon Migacz, Paweł Tabaszewski, Andrzej Sułecki, Aneta Polewko-Klim, Witold RudnickiAcademic press:R Journal (rok: 2019, tom: 0,459027777777778, strony: 198-210), Wydawca: R FOUNDATION STATISTICAL COMPUTINGStatus:PublishedDOI:10.32614/RJ-2019-019 - link to the publication
- MDFS: MultiDimensional Feature Selection in RAuthors:Radosław Piliszek, Krzysztof Mnich, Szymon Migacz, Paweł Tabaszewski, Andrzej Sułecki, Aneta Polewko-Klim, Witold RudnickiAcademic press:R Journal (rok: 2019, tom: 0,459027777777778, strony: 198-210), Wydawca: R FOUNDATION STATISTICAL COMPUTINGStatus:PublishedDOI:10.32614/RJ-2019-019 - link to the publication