Publikace
- Sparse L1-norm quadratic surface support vector machine with Universum data2023 | Matematicko-fyzikální fakulta
- Least squares approach to K-SVCR multi-class classification with its applications2022 | Matematicko-fyzikální fakulta
- On the minimum-norm solution of convex quadratic programming2021 | Matematicko-fyzikální fakulta
- Optimal correction of the absolute value equations2021 | Matematicko-fyzikální fakulta
- Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm2021 | Matematicko-fyzikální fakulta
- Least squares K-SVCR multi-class classification2020 | Matematicko-fyzikální fakulta
- Minimum norm solution of the Markowitz mean-variance portfolio optimization model2020 | Matematicko-fyzikální fakulta
- Inverse free reduced universum twin support vector machine for imbalanced data classification2023 | Matematicko-fyzikální fakulta
- Some notes on the solvability conditions for absolute value equations2023 | Matematicko-fyzikální fakulta
- A lagrangian-based approach for universum twin bounded support vector machine with its applications2023 | Matematicko-fyzikální fakulta
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