as Architecture des Systèmes d’Information Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis Philippe L ERAY, Olivier François, Ahmad Faour contact: [email protected]PSI (Perception, Systems and Information) Laboratory – FRE CNRS 2645 Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 1/12
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Bayesian Networks and Statistical Learning Applications to complex
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asArchitecture des Systèmes d’Information
Bayesian Networks and Statistical Learning
Applications to complex system modellingand diagnosis
Philippe LERAY, Olivier François, Ahmad Faourcontact: [email protected]
PSI (Perception, Systems and Information) Laboratory – FRE CNRS 2645
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 1/12
asArchitecture des Systèmes d’Information
Structural learning – complete data
The DAG space has a super-exponential size → heuristics !
Constraint based methods (IC, PC, BN-PC. . .)Score based methods
complete search in Tree space (MWST)greedy search in DAG space, with node ordering (K2)or without (GS)greedy search and Markov equivalence (GES)
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 6/12
asArchitecture des Systèmes d’Information
Complex system modelling and diagnosis
Intrusion detection in computer networks
A. Faour PhD thesis (begin sept. 2004)Collaboration with a network security expert
Conferences : EGC05 Worshop (french)
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 7/12
asArchitecture des Systèmes d’Information
Complex system modelling and diagnosis
Bayesian networks for classificationO. François PhD thesis (end envisaged in dec. 2005)
Journal : RIA 2004 (french)
Dysfunction detection and localisation in a chemicalreactor
Collaboration with a chemical process engineering lab (LRCP
Rouen)
Conference : SFGP 2005 (french)
Micro-wave transistor thermical modellingProject with Thales Air Defense and a aero-thermochemistry lab
(CORIA Rouen) financed by Haute-Normandie Region
G. Mallet MSc thesis (feb-july 2005) followed by a PhD
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 8/12
asArchitecture des Systèmes d’Information
Scientific animation
French workshop on bayesian networks :June 2001 – first workshop, Paris (co-organisation)March 2003 – second workshop, Rouen.Jan. 2005 – French PGM workshop during EGC 2005conference, Paris.
Software : BNT Toolbox for Matlabcode contributionsresponsable for structure learning packagefrench BNT website and documentationhttp ://bnt.insa-rouen.fr
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 9/12
asArchitecture des Systèmes d’Information
International activities
Members of PASCAL (Pattern Analysis, StatisticalModelling and Computational Learning) europeannetwork of excellence
CollaborationsCausal networks and structural learning – S. Meganck& B. Manderick, Computational Modeling Lab, VrijeUniversiteit Brussel (VUB), Belgium.
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 10/12
asArchitecture des Systèmes d’Information
Selected bibliography (in english)
http ://asi.insa-rouen.fr/˜pleray/publisRB.php
International journals :
Zaarour, I. et al. (2004). Clustering and bayesian network approaches for
discovering handwriting strategies of primary school children. International Journal
of Pattern Recognition and Artificial Intelligence, 18(7) :1233-1251.
International conferences :
Leray, P.et al. (2003). A bayesian model for discovering handwriting strategies of
primary school children. In Working Notes of the Workshop on Probabilistic
Graphical Models for Classification, ECML/PKDD-2003, 49-57.
Zaarour, I.et al. (2003). A bayesian network model for discovering handwriting
strategies of primary school children. In 11th Conference of the International
Graphonomics society (IGS 2003), 178-181.
Misc :
Leray, P. and Francois, O. (2004). BNT structure learning package : Documentation
and experiments. Technical report, Laboratoire PSI.
Bayesian Networks and Statistical Learning Applications to complex system modelling and diagnosis – p. 11/12
asArchitecture des Systèmes d’Information
Selected bibliography (in french)
Books :
Naïm, P., Wuillemin, P.-H., Leray, P., Pourret, O., and Becker, A. (2004). Réseaux
bayésiens. Eyrolles, Paris.
French journals :
Leray, P. and Francois, O. (2004). Réseaux bayésiens pour la classification -
méthodologie et illustration dans le cadre du diagnostic médical. Revue
d’Intelligence Artificielle, 18/2004 :169-193.
François, O. and Leray, P. (2004). Etude comparative d’algorithmes
d’apprentissage de structure dans les réseaux bayésiens. Journal électronique
d’intelligence artificielle, 5(39) :1-19.
French conferences :
Francois, O. and Leray, P. (2005). Apprentissage de structure dans les réseaux
bayésiens et données incomplètes. In Proceedings of EGC 2005 (to appear), 1-6.
Faour, A. and Leray, P. (2005). Réseaux bayésiens pour le filtrage d’alarmes dans
les systèmes de détection d’intrusion. In Proceedings of EGC 2005 Atelier