Real Time Learning of Non-stationary Processes with Dynamic Bayesian Networks
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Christophe Gonzales | Pierre-Henri Wuillemin | Philippe Baumard | Matthieu Hourbracq | Pierre-Henri Wuillemin | Christophe Gonzales | P. Baumard | Matthieu Hourbracq
[1] Dirk Ourston,et al. Applications of hidden Markov models to detecting multi-stage network attacks , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[2] Marco Grzegorczyk,et al. Non-stationary continuous dynamic Bayesian networks , 2009, NIPS.
[3] Marco Grzegorczyk,et al. Modelling non-stationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler , 2008, Bioinform..
[4] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[5] Peter J. F. Lucas,et al. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients , 2009, Expert Syst. Appl..
[6] Cédric Baudrit,et al. Expert knowledge integration to model complex food processes. Application on the camembert cheese ripening process , 2011, Expert Syst. Appl..
[7] Elliot Saltzman,et al. Gesture-based Dynamic Bayesian Network for noise robust speech recognition , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Christopher Krügel,et al. Bayesian event classification for intrusion detection , 2003, 19th Annual Computer Security Applications Conference, 2003. Proceedings..
[9] Alexander J. Hartemink,et al. Learning Non-Stationary Dynamic Bayesian Networks , 2010, J. Mach. Learn. Res..
[10] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[11] Jing Xu,et al. Continuous Time Bayesian Networks for Host Level Network Intrusion Detection , 2008, ECML/PKDD.
[12] Marco Grzegorczyk,et al. Non-homogeneous dynamic Bayesian networks for continuous data , 2011, Machine Learning.
[13] Gautam Biswas,et al. Bayesian Fault Detection and Diagnosis in Dynamic Systems , 2000, AAAI/IAAI.
[14] Christopher Krügel,et al. Anomalous system call detection , 2006, TSEC.
[15] Jing Xu,et al. Intrusion Detection using Continuous Time Bayesian Networks , 2010, J. Artif. Intell. Res..
[16] Séverine Dubuisson,et al. A New Algorithm for Learning Non-Stationary Dynamic Bayesian Networks With Application to Event Detection , 2015, FLAIRS.
[17] R. Beran. Minimum Hellinger distance estimates for parametric models , 1977 .
[18] Stuart J. Russell,et al. Dynamic bayesian networks: representation, inference and learning , 2002 .
[19] Alexander J. Hartemink,et al. Non-stationary dynamic Bayesian networks , 2008, NIPS.
[20] Le Song,et al. Time-Varying Dynamic Bayesian Networks , 2009, NIPS.
[21] Giuseppe Serazzi,et al. Unsupervised learning algorithms for intrusion detection , 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.
[22] Yuxin Ding,et al. Host-based intrusion detection using dynamic and static behavioral models , 2003, Pattern Recognit..
[23] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[24] Nick Cercone,et al. Privacy intrusion detection using dynamic Bayesian networks , 2006, ICEC '06.