A First-Order Axiomatization for Transition Learning with RichConstraints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00332228" target="_blank" >RIV/68407700:21230/17:00332228 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-2085/barvinekLBP-ILP2017.pdf" target="_blank" >http://ceur-ws.org/Vol-2085/barvinekLBP-ILP2017.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A First-Order Axiomatization for Transition Learning with RichConstraints
Original language description
We address the task of learning a dynamic Boolean network model from dataabout its state transitions, and constraints regarding the known attractors ofthe system. To this end, we propose a learning strategy where such priorknowledge is compiled into a first-order theory along with axioms describ-ing the Boolean transitions functions and the language bias for their repre-sentation. The learning task is then posed as a model-finding task, in that theBoolean network is obtained as a model of the input first-order theory. Withthis framework, we support experimentally the hypothesis that attractor con-straints reduce the number of state transition examples needed to identify thetarget model.
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Late Breaking Papers of the 27th International Conference on Inductive Logic Programming
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
CEUR Workshop Proceedings
Place of publication
Tilburg
Event location
Orléans
Event date
Sep 4, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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