PyIDS - Python Implementation of Interpretable Decision Sets Algorithm by Lakkaraju et al, 2016
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F19%3A00054294" target="_blank" >RIV/61384399:31140/19:00054294 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-2438/paper8.pdf" target="_blank" >http://ceur-ws.org/Vol-2438/paper8.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
PyIDS - Python Implementation of Interpretable Decision Sets Algorithm by Lakkaraju et al, 2016
Original language description
Main topics of the document: Interpretable Decision Sets; explainable machine learning; classification; rule learning; association rules; reproducibility; replication; benchmark
Czech name
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Czech description
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Classification
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
RuleML+RR DC and Challenge 2019 RuleML+RR 2019 Doctoral Consortium and Rule Challenge
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
11
Pages from-to
"nestrankovano"
Publisher name
CEUR-WS
Place of publication
Cáchy
Event location
Bolzáno
Event date
Sep 16, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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