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A Sparse Pair-preserving Centroid-based Supervised Learning Method for High-dimensional Biomedical Data or Images
- 1.0524330 - ÚI 2021 RIV PL eng J - Journal Article
Kalina, Jan - Matonoha, Ctirad
A Sparse Pair-preserving Centroid-based Supervised Learning Method for High-dimensional Biomedical Data or Images.
Biocybernetics and Biomedical Engineering. Roč. 40, č. 2 (2020), s. 774-786. ISSN 0208-5216. E-ISSN 0208-5216
R&D Projects: GA ČR(CZ) GA19-05704S
Institutional support: RVO:67985807
Keywords : supervised learning * high-dimensional data * robustness * sparsity * nonlinear optimization
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 4.314, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1016/j.bbe.2020.03.008
Cited: 1
--- ALVAREZ-MACHANCOSES, O. - FERNANDEZ-MARTINEZ, J.L. - KLOCZKOWSKI, A. Prediction of Protein Tertiary Structure via Regularized Template Classification Techniques. MOLECULES. JUN 2020, vol. 25, no. 11. [WOS]
Permanent Link: http://hdl.handle.net/11104/0308691
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