Multiple Instance Learning with Bag-level Randomized Trees
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31160%2F19%3A00055030" target="_blank" >RIV/61384399:31160/19:00055030 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/19:00327619
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061163500&doi=10.1007%2f978-3-030-10925-7_16&partnerID=40&md5=b0f73aba3019aea99b4b53c61a28477" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061163500&doi=10.1007%2f978-3-030-10925-7_16&partnerID=40&md5=b0f73aba3019aea99b4b53c61a28477</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-10925-7_16" target="_blank" >10.1007/978-3-030-10925-7_16</a>
Alternative languages
Result language
angličtina
Original language name
Multiple Instance Learning with Bag-level Randomized Trees
Original language description
Main topics of the document: multiple instance learning; randomized trees; classification
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
50602 - Public administration
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
Machine Learning and Knowledge Discovery in Databases
ISBN
978-3-030-10924-0
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
259-272
Publisher name
Springer
Place of publication
Cham
Event location
Dublin
Event date
Sep 10, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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