Relational Learning with Polynomials
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00197044" target="_blank" >RIV/68407700:21230/12:00197044 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Relational Learning with Polynomials
Original language description
We describe a conceptually simple framework for transformation-based learning in hybrid relational domains. The proposed approach is related to hybrid Markov logic and to Gaussian logic framework. We evaluate the approach in three domains and show that it can achieve state-of-the-art performance while using only limited amount of information.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F11%2F2170" target="_blank" >GAP103/11/2170: Transferring ILP techniques to statistical relational learning</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
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 IEEE 24th International Conference on Tools with Artificial Intelligence
ISBN
978-0-7695-4915-6
ISSN
1082-3409
e-ISSN
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Number of pages
6
Pages from-to
1145-1150
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Athens
Event date
Nov 7, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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