Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10052055" target="_blank" >RIV/00216208:11320/10:10052055 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/10:00171165
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming
Original language description
The paper describes the core techniques for solving problem of inductive logic programming using constraint satisfaction.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS 2010)
ISBN
978-1-57735-447-5
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
AAAI Press
Place of publication
Menlo Park
Event location
Daytona Beach
Event date
May 19, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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