Compositional Models: Iterative Structure Learning from Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31160%2F21%3A00055611" target="_blank" >RIV/61384399:31160/21:00055611 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/21:00531044
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-15-4917-5_28" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-15-4917-5_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-15-4917-5_28" target="_blank" >10.1007/978-981-15-4917-5_28</a>
Alternative languages
Result language
angličtina
Original language name
Compositional Models: Iterative Structure Learning from Data
Original language description
Main topics of the document: compositional models; structure learning; decomposability; Kullback-Leibler divergence
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
50204 - Business and management
Result continuities
Project
<a href="/en/project/GA19-06569S" target="_blank" >GA19-06569S: Managerial Decisions: Rationality of Paradoxical Behavior</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Sensor Networks and Signal Processing, Proceedings of the 2nd Sensor Networks and Signal Processing (SNSP 2019)
ISBN
978-981-15-4916-8
ISSN
2190-3018
e-ISSN
2190-3026
Number of pages
17
Pages from-to
379-395
Publisher name
Springer
Place of publication
Singapore
Event location
Hualien, Taiwan
Event date
Nov 19, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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