Algebraically explainable controllers: decision trees and support vector machines join forces
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00133937" target="_blank" >RIV/00216224:14330/23:00133937 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s10009-023-00716-z" target="_blank" >https://doi.org/10.1007/s10009-023-00716-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10009-023-00716-z" target="_blank" >10.1007/s10009-023-00716-z</a>
Alternative languages
Result language
angličtina
Original language name
Algebraically explainable controllers: decision trees and support vector machines join forces
Original language description
Recently, decision trees (DT) have been used as an explainable representation of controllers (a.k.a. strategies, policies, schedulers). Although they are often very efficient and produce small and understandable controllers for discrete systems, complex continuous dynamics still pose a challenge. In particular, when the relationships between variables take more complex forms, such as polynomials, they cannot be obtained using the available DT learning procedures. In contrast, support vector machines provide a more powerful representation, capable of discovering many such relationships, but not in an explainable form. Therefore, we suggest to combine the two frameworks to obtain an understandable representation over richer, domain-relevant algebraic predicates. We demonstrate and evaluate the proposed method experimentally on established benchmarks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal on Software Tools for Technology Transfer
ISSN
1433-2779
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
3
Country of publishing house
DE - GERMANY
Number of pages
18
Pages from-to
249-266
UT code for WoS article
001045591500001
EID of the result in the Scopus database
2-s2.0-85167518918