Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval
| dc.contributor.author | BAUDRIT, Cedric
IDREF: 095921443 | |
| hal.structure.identifier | Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc] | |
| dc.contributor.author | DESTERCKE, S. | |
| hal.structure.identifier | DECISION | |
| dc.contributor.author | WUILLEMIN, Pierre-Henri | |
| dc.date.accessioned | 2021-05-14T09:53:28Z | |
| dc.date.available | 2021-05-14T09:53:28Z | |
| dc.date.issued | 2016-11 | |
| dc.identifier.issn | 0020-0255 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/77540 | |
| dc.description.abstractEn | Modeling complex dynamical systems from heterogeneous pieces of knowledge varying in precision and reliability is a challenging task. We propose the combination of dynamical Bayesian networks and of imprecise probabilities to solve it. In order to limit the computational burden and to make interpretation easier, we also propose to encode pieces of (numerical) knowledge as probability intervals, which are then used in an imprecise Dirichlet model to update our knowledge. The idea is to obtain a model flexible enough so that it can easily cope with different uncertainties (i.e., stochastic and epistemic), integrate new pieces of knowledge as they arrive and be of limited computational complexity. | |
| dc.language.iso | en | |
| dc.publisher | Elsevier | |
| dc.subject.en | modelling 24 | |
| dc.subject.en | knowledge integration | |
| dc.subject.en | uncertainty | |
| dc.subject.en | Dynamic credal networks | |
| dc.subject.en | imprecise probability | |
| dc.subject.en | Dirichlet 23 model | |
| dc.title.en | Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.ins.2016.07.003 | |
| dc.subject.hal | Informatique [cs] | |
| bordeaux.journal | Information Sciences | |
| bordeaux.page | 630–647 | |
| bordeaux.volume | 367-368 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01346202 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01346202v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Information%20Sciences&rft.date=2016-11&rft.volume=367-368&rft.spage=630%E2%80%93647&rft.epage=630%E2%80%93647&rft.eissn=0020-0255&rft.issn=0020-0255&rft.au=BAUDRIT,%20Cedric&DESTERCKE,%20S.&WUILLEMIN,%20Pierre-Henri&rft.genre=article |
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