Analyzing l1-loss and l2-loss Support Vector Machines Implemented in PERMON Toolbox

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68145535%3A_____%2F20%3A00537238" target="_blank" >RIV/68145535:_____/20:00537238 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/20:10245745
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-14907-9_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-14907-9_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-14907-9_2" target="_blank" >10.1007/978-3-030-14907-9_2</a>

Result language
angličtina
Original language name
Analyzing l1-loss and l2-loss Support Vector Machines Implemented in PERMON Toolbox
Original language description
This paper deals with investigating l1-loss and l2-loss l2-regularized Support Vector Machines implemented in PermonSVM – a part of our PERMON toolbox. The loss functions quantify error between predicted and correct classifications of samples in cases of non-perfectly linearly separable classifications. In numerical experiments, we study properties of Hessians related to performance score of models and analyze convergence rate on 4 public available datasets. The Modified Proportioning and Reduced Gradient Projection algorithm is used as a solver for the dual Quadratic Programming problem resulting from Support Vector Machines formulations.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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