Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Christophe Gonzales"'
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Our daily environments are complex, composed of objects with different features. These features can be categorized into low-level features, e.g., an object position or temperature, and high-level features resulting from a pre-processing of low-level
Externí odkaz:
https://doaj.org/article/b24b3849a46c462ab65cbc0c27df2620
Publikováno v:
Thirty-fourth International Florida Artificial Intelligence Research Society Conference
Thirty-fourth International Florida Artificial Intelligence Research Society Conference, May 2021, Florida, USA, France. ⟨10.32473/flairs.v34i1.128453⟩
FLAIRS Conference
Thirty-fourth International Florida Artificial Intelligence Research Society Conference, May 2021, Florida, USA, France. ⟨10.32473/flairs.v34i1.128453⟩
FLAIRS Conference
International audience; Exploiting experts' knowledge can significantly increase the quality of the Bayesian network (BN) structures produced by learning algorithms. However, in practice, experts may not be 100% confident about the opinions they prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17fc9b7f492060e11fe35e670d729692
https://hal-amu.archives-ouvertes.fr/hal-03613058
https://hal-amu.archives-ouvertes.fr/hal-03613058
Publikováno v:
HAL
International audience; This paper presents the aGrUM framework, a LGPL C++ library providing state-of-the-art implementations of graphical models for decision making, including Bayesian Networks, Markov Networks (Markov random fields), Influence Dia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d5d31f55e4beea957652bf1c1ab5c53
https://hal.archives-ouvertes.fr/hal-03135721/file/ducamp20a.pdf
https://hal.archives-ouvertes.fr/hal-03135721/file/ducamp20a.pdf
Autor:
Christophe Gonzales, Patrice Perny
Publikováno v:
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061630
A Guided Tour of Artificial Intelligence Research
Marquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.519-548, 2020, Knowledge Representation, Reasoning and Learning, 978-3-030-06164-7. ⟨10.1007/978-3-030-06164-7_16⟩
A Guided Tour of Artificial Intelligence Research
Marquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.519-548, 2020, Knowledge Representation, Reasoning and Learning, 978-3-030-06164-7. ⟨10.1007/978-3-030-06164-7_16⟩
International audience; This chapter aims to present the main models used for preference aggregation and decision support in a unified framework.After recalling the definition of a multicriteria decision making problem, we distinguish two approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6aa0483a4eeeddd773689e0767c2d64
https://doi.org/10.1007/978-3-030-06164-7_16
https://doi.org/10.1007/978-3-030-06164-7_16
Autor:
Patrice Perny, Christophe Gonzales
Publikováno v:
A Guided Tour of Artificial Intelligence Research
Marquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.549-586, 2020, Knowledge Representation, Reasoning and Learning
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061630
Marquis, Pierre; Papini, Odile; Prade, Henri. A Guided Tour of Artificial Intelligence Research, I, Springer, pp.549-586, 2020, Knowledge Representation, Reasoning and Learning
A Guided Tour of Artificial Intelligence Research ISBN: 9783030061630
International audience; The goal of this chapter is to provide a general introduction to decision making under uncertainty. The mathematical foundations of the most popular models used in artificial intelligence are described, notably the Expected Ut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c28693876951e1c9f3bd7b4bbbdb19cd
https://hal.archives-ouvertes.fr/hal-02860485
https://hal.archives-ouvertes.fr/hal-02860485
Publikováno v:
Revue d'intelligence artificielle. 32:111-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b61e531a4da818b6a6583afd7e981d
https://doi.org/10.3166/ria.32.111-132
https://doi.org/10.3166/ria.32.111-132
Publikováno v:
International Journal of Approximate Reasoning. 92:270-278
Directed separation (d-separation) played a fundamental role in the founding of Bayesian networks (BNs) and continues to be useful today in a wide range of applications. Given an independence to be tested, current implementations of d-separation expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a3fde8223e316b76379d1b78b640b40
https://doi.org/10.1016/j.ijar.2017.10.026
https://doi.org/10.1016/j.ijar.2017.10.026
Publikováno v:
Computational Intelligence. 34:789-801
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64d5eddf79961131df757351f58c0cb5
https://doi.org/10.1111/coin.12130
https://doi.org/10.1111/coin.12130
Autor:
Christophe Gonzales
Publikováno v:
International Conference on Scalable Uncertainty Management
International Conference on Scalable Uncertainty Management, Dec 2019, Compiègne, France
Lecture Notes in Computer Science ISBN: 9783030355135
SUM
International Conference on Scalable Uncertainty Management, Dec 2019, Compiègne, France
Lecture Notes in Computer Science ISBN: 9783030355135
SUM
Uncertain reasoning over both continuous and discrete random variables is important for many applications in artificial intelligence. Unfortunately, dealing with continuous variables is not an easy task. In this tutorial, we will study some of the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50ad0c615a78efc354be4a00cf3bce4b
https://hal.science/hal-02444883
https://hal.science/hal-02444883
Publikováno v:
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2018, Réseaux bayésiens et modèles probabilistes, 32 (1), pp.111-132
HAL
Revue des Sciences et Technologies de l'Information-Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2018, Réseaux bayésiens et modèles probabilistes, 32 (1), pp.111-132
HAL
International audience; This article investigates the exploitation of probabilistic rules within object-oriented business rule management systems (OO-BRMS). In order to facilitate the modelling of the probability distributions in these systems, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d68728c516c2e58ee6c8673e0dd1731a
https://hal.archives-ouvertes.fr/hal-01864391
https://hal.archives-ouvertes.fr/hal-01864391