Search results
- 1.0474072 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
On Coupling Robust Estimation with Regularization for High-Dimensional Data.
Data Science. Innovative Developments in Data Analysis and Clustering. Cham: Springer, 2017 - (Palumbo, F.; Montanari, A.; Vichi, M.), s. 15-27. Studies in Classification, Data Analysis, and Knowledge Organization. ISBN 978-3-319-55722-9. ISSN 1431-8814.
[IFCS 2015. Bologna (IT), 05.07.2015-08.07.2015]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) ED2.1.00/03.0078; Nadační fond na podporu vědy(CZ) Neuron
Institutional support: RVO:67985807
Keywords : classification * outliers * robustness * sparsity * brain activity
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0271250File Download Size Commentary Version Access a0474072.pdf 2 192.7 KB Publisher’s postprint require - 2.0473143 - ÚI 2018 RIV CH eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
Implicitly Weighted Robust Classification Applied to Brain Activity Research.
Biomedical Engineering Systems and Technologies. Cham: Springer, 2017 - (Fred, A.; Gamboa, H.), s. 87-107. Communications in Computer and Information Science, 690. ISBN 978-3-319-54716-9. ISSN 1865-0929.
[BIOSTEC 2016 International Joint Conference /9./. Rome (IT), 21.02.2016-23.02.2016]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) LO1611; Nadační fond na podporu vědy(CZ) Neuron
Institutional support: RVO:67985807
Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Permanent Link: http://hdl.handle.net/11104/0270309File Download Size Commentary Version Access a0473143.pdf 2 315.9 KB Publisher’s postprint require - 3.0457036 - ÚI 2016 RIV PT eng C - Conference Paper (international conference)
Kalina, Jan - Hlinka, Jaroslav
Highly Robust Classification: A Regularized Approach for Omics Data.
BIOSTEC 2016 - BIOINFORMATICS. Vol. 3. Lisbon: Scitepress, 2016, s. 17-26. ISBN 978-989-758-170-0.
[BIOINFORMATICS 2016. International Conference on Bioinformatics Models, Methods and Algorithms /7./. Rome (IT), 21.02.2016-23.02.2016]
R&D Projects: GA ČR GA13-23940S
Grant - others:GA MŠk(CZ) ED2.1.00/03.0078
Institutional support: RVO:67985807
Keywords : high-dimensional data * classification analysis * robustness * outliers * regularization
Subject RIV: IN - Informatics, Computer Science
Permanent Link: http://hdl.handle.net/11104/0257480File Download Size Commentary Version Access a0457036.pdf 1 2.7 MB Publisher’s postprint require