Predicting Default Probability of Bank's Corporate Clients in the Czech Republic. Comparison of Generalized Additive Models and Support Vector Machine Approaches

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F20%3A00055780" target="_blank" >RIV/61384399:31140/20:00055780 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-63322-6_60" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-63322-6_60</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63322-6_60" target="_blank" >10.1007/978-3-030-63322-6_60</a>

Result language
angličtina
Original language name
Predicting Default Probability of Bank's Corporate Clients in the Czech Republic. Comparison of Generalized Additive Models and Support Vector Machine Approaches
Original language description
Main topics of the document: probability of default; generalized additive model; support vector machine
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Software Engineering Perspectives in Intelligent Systems
ISBN
978-3-030-63321-9
ISSN
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e-ISSN
—
Number of pages
14
Pages from-to
709-722
Publisher name
Springer
Place of publication
Cham
Event location
online
Event date
Oct 14, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Result description