Mining CSTNUDs significant for a set of traces is polynomial-Reference-Cited by-同舟云学术

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Mining CSTNUDs significant for a set of traces is polynomial

Published:2021-12 Issue: Volume:281 Page:104773
ISSN:0890-5401
Container-title:Information and Computation
language:en
Short-container-title:Information and Computation

Author:

Sciavicco Guido^ORCID,Zavatteri Matteo,Villa Tiziano

Funder

Istituto Nazionale di Alta Matematica "Francesco Severi"

National Group for Mathematical Analysis Probability and Applications

Gruppo Nazionale per il Calcolo Scientifico

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,Theoretical Computer Science

Reference32 articles.

1. Temporal constraint networks;Dechter;Artif. Intell.,1991

2. Handling contingency in temporal constraint networks: from consistency to controllabilities;Vidal;J. Exp. Theor. Artif. Intell.,1999

3. An efficient executive for temporal plans with choice;Conrad;J. Artif. Intell. Res.,2011

4. CTP: a new constraint-based formalism for conditional, temporal planning;Tsamardinos;Constraints,2003

5. Dynamic controllability via timed game automata;Cimatti;Acta Inform.,2016

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