Academic literature on the topic 'Markovien'
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Journal articles on the topic "Markovien"
Fougère and Kamionka. "Un modèle markovien du marché du travail." Annales d'Économie et de Statistique, no. 27 (1992): 149. http://dx.doi.org/10.2307/20075878.
Full textMercier, Sabine, and Claudie Hassenforder. "Distribution exacte du score local, cas markovien." Comptes Rendus Mathematique 336, no. 10 (May 2003): 863–68. http://dx.doi.org/10.1016/s1631-073x(03)00208-5.
Full textFrancq, Christian, Michel Roussignol, and Jean-Michel Zakoı̈an. "Modèles ARCH avec changement de régime markovien." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 330, no. 10 (May 2000): 921–24. http://dx.doi.org/10.1016/s0764-4442(00)00291-3.
Full textOuhbi, Brahim, and Nikolaos Limnios. "Comportement asymptotique de la matrice de renouvellement markovien." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 325, no. 8 (October 1997): 921–24. http://dx.doi.org/10.1016/s0764-4442(97)80139-5.
Full textYao, Jian-Feng, and Jean-Gabriel Attali. "Stabilité des modèles AR fonctionnels à régime markovien." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 327, no. 6 (September 1998): 593–96. http://dx.doi.org/10.1016/s0764-4442(98)89170-2.
Full textGouéré, Jean-Baptiste. "Sur un modèle markovien rudimentaire de diffusion atomique." Comptes Rendus Mathematique 342, no. 2 (January 2006): 141–46. http://dx.doi.org/10.1016/j.crma.2005.10.027.
Full textHarison, Victor, and Serguey Nikolaievitch Smirnov. "Jonction maximale en distribution dans le cas markovien." Probability Theory and Related Fields 84, no. 4 (December 1990): 491–503. http://dx.doi.org/10.1007/bf01198316.
Full textFrancq, Christian, and Jean-Michel Zakoïan. "Stationnarité des modèles ARMA à changement de régime markovien." Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 330, no. 11 (June 2000): 1031–34. http://dx.doi.org/10.1016/s0764-4442(00)00302-5.
Full textItô, Masayuki. "Une caractérisation des noyaux de convolution rèels de type logarithmique." Nagoya Mathematical Journal 97 (March 1985): 1–49. http://dx.doi.org/10.1017/s0027763000021243.
Full textDo, Trinh-Minh-Tri, and Thierry Artières. "Modèle hybride champ markovien conditionnel et réseau de neurones profond." Document numérique 14, no. 2 (August 30, 2011): 11–27. http://dx.doi.org/10.3166/dn.14.2.11-27.
Full textDissertations / Theses on the topic "Markovien"
Barbot, Nelly. "Files d'attente fluides en environnement markovien." Rennes 1, 2002. http://www.theses.fr/2002REN10094.
Full textDinetan, Lee. "Ruine et investissement en environnement markovien." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30141/document.
Full textThis thesis aims at modelling and optimize an agent's (called "he") investment strategies when subjected to a Markovian environment, and to a liquidity risk happening when he runs out of liquid assets during an expense. Throughout this work, we deem that he aims at avoiding default; for this purpose, investment opportunities are available to him, allowing to increase his future expected incomes at the price of an immediate expense, therefore risking premature bankruptcy since investment is deemed illiquid: our goal is to find conditions under which incurring such liquidity risks is more advisable than declining a permanent income
Bouhlel, Nizar. "Caractérisation de texture d'échographie RF par champ markovien." Phd thesis, Université René Descartes - Paris V, 2006. http://tel.archives-ouvertes.fr/tel-00168529.
Full textAMOURA, LAHLOU. "Modele markovien pyramidal flou et segmentation statistique d'images." Paris 6, 1998. http://www.theses.fr/1998PA066011.
Full textBouhlel, Nizar. "Caractérisation de texture d'écographie RF par champ markovien." Paris 5, 2006. http://www.theses.fr/2006PA05S014.
Full textThe ultrasound is a medical imaging tool that imposes itself for the diagnosis of numerous pathologies. As a consequence, many image filed studies are concerned with these images to provide tools of analysis and tissue characterization. The objective of this thesis is to exploit spatial markovien models representing the ultrasound texture that exist in the image to extract susceptible interactions that would describe the organization of these textures. In the first part, we evaluate the efficiency of the distributions proposed in the previous study modeling the RF envelope amplitude. We illustrate, through texture simulations, the links between the parameters of these distributions and the parameters of the scatterers, namely the density, the amplitude and the spacing. In the second part, we elaborate our texture spatial models inspired by the probability modeling RF envelope amplitude. So we obtain in every pixel of the image a local distribution of type K or Nakagami. Simulation and parameter estimation were developed. The third part is dedicated to the application of the spatial models on RF simulated images. We show here the adequate models for the description of the spatial arrangement of the scatterers constituting the tissue, and the connection of the model parameters with the intrinsic properties of the scatterers. Finally, the future development of this approach are to be discussed
Besbes, Ghina. "Modélisation de dialogues à l'aide d'un modèle Markovien caché." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26989/26989.pdf.
Full textModeling human-machine dialogue is a research area that encompasses several disciplines such as philosophy, computer science, as well as cognitive and social sciences. It aims to replicate the human ability to learn optimal strategies of dialogue. Furthermore, it aims to design and evaluate management systems for dialogue, and to study the nature of the conversations in more detail. Moreover, few simulation models of existing dialogues were considered good. This thesis presents a hidden Markov model that predicts the action of the user in dialogue systems on the basis of the previous system action. The learning model has been realized through an approach to unsupervised learning using different methods of cross validation. As for model evaluation, it has been done using different metrics. The evaluation results were below expectation. Nonetheless, they are satisfactory compared to previous work. Ultimately, avenues for future research are proposed to overcome this problem. Keywords: natural language processing, spoken dialogue human-machine, Hidden Markov Model (HMM), unsupervised learning, cross validation.
Salzenstein, Fabien. "Modele markovien flou et segmentation statistique non suupervisee d'images." Rennes 1, 1996. http://www.theses.fr/1996REN10194.
Full textProfeta, Christophe. "Pénalisations, pseudo-inverses et peacocks dans un cadre markovien." Thesis, Nancy 1, 2010. http://www.theses.fr/2010NAN10088/document.
Full textAs suggested by the title, this thesis comprises three parts.- The first part is dedicated to the penalization of regular recurrent linear diffusions. More precisely, we start by examining null recurrent diffusions, and we exhibit a large class of functionals for which the penalization principle is satisfied. This study relies on the construction of a sigma-finite measure W similar to that of Najnudel-Roynette-Yor. We then deal with the case of the penalization of a positively recurrent diffusion (reflected on an interval) with an exponential function of its local time at 0. The results we obtain in this set-up are quite different from the null recurrent framework, and we see a new phenomena of composition of penalizations.- In the second part, we extend the notion of pseudo-inverses (a notion recently introduced by Madan-Roynette-Yor in the framework of Bessel processes) to more general diffusions. We show in particular that we may realize the family of pseudo-inverses associated to a diffusion started from 0 and taking positive values as the last passage times of another diffusion, constructed thanks to Biane's transform.- The last part of this thesis deals with peacocks, i.e. with processes which are increasing in the convex order. A theorem due to Kellerer states that to every peacock, one can associate a martingale which has the same one-dimensional marginals. Guided by this theorem, we first exhibit large families of peacocks, essentially constructed from "conditionally monotone" processes, and we then associate martingales to some of these peacocks thanks to the Skorokhod embeddings of Hall-Breiman, Bass and Azéma-Yor
Saint, Pierre Philippe. "Modèles multi-états de type Markovien et application à l'asthme." Phd thesis, Université Montpellier I, 2005. http://tel.archives-ouvertes.fr/tel-00010146.
Full textDevillers, Laurence. "Reconnaissance de parole continue avec un systeme hybride neuronal et markovien." Paris 11, 1992. http://www.theses.fr/1992PA112426.
Full textBooks on the topic "Markovien"
P, Sharma O. Markovian queues. New York: Ellis Horwood, 1990.
Find full textBeyer, Dirk, Feng Cheng, Suresh P. Sethi, and Michael Taksar. Markovian Demand Inventory Models. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-71604-6.
Full text1935-, Makovecz Imre, ed. Tomislav Marković. [Beograd]: Klub arhitekata, 2002.
Find full textKalisch, Michael. Benjamin Markovits. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892.
Full textMarković, Mira. Govorio je Vito Marković / priredila Mira Marković. Beograd: Moderna, 1991.
Find full textOnomastika Barjamovice, Velestova i Markovine. Cetinje: FCJK, Fakultet za crnogorski jezik i književnost, 2020.
Find full textTwo-dimensional Markovian holonomy fields. Paris: Societé mathématique de France, 2010.
Find full textI͡Astrebov, E. V. Vasiliĭ Markovich Florinskiĭ. Tomsk: Izd-vo Tomskogo universiteta, 1994.
Find full textĐorđe Marković Koder. Beograd: Alfa, 2005.
Find full textJaša, Denegri, ed. Milovan DeStil Marković. Čačak: Umetnička galerija "Nadežda Petrović", 2008.
Find full textBook chapters on the topic "Markovien"
Clayton, Joshua. "‘Everybody got they role to play'." In Benjamin Markovits, 49–63. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-5.
Full textMcLennan, Rachael. "‘What Hasn't Happened to You'." In Benjamin Markovits, 35–48. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-4.
Full textKalisch, Michael. "Introduction." In Benjamin Markovits, 1–6. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-1.
Full textReese, Sam. "The Loneliness of the Long-Distance Academic." In Benjamin Markovits, 7–19. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-2.
Full textMarkovits, Benjamin, and Kasia Boddy. "A Conversation with Benjamin Markovits." In Benjamin Markovits, 120–41. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-10.
Full textKalisch, Michael. "Manners, Morals, and the Essingers." In Benjamin Markovits, 109–19. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-9.
Full textBoorman, Lola. "Temporary Concerns." In Benjamin Markovits, 81–94. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-7.
Full textPeacock, James. "‘The world seemed very large around me'." In Benjamin Markovits, 64–80. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-6.
Full textGraham, Peter. "The Byron Novels." In Benjamin Markovits, 20–34. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-3.
Full textBrauner, David. "Strategies of Self-Detachment and ‘The Business of Daily Life' in the Fiction of Benjamin Markovits." In Benjamin Markovits, 95–108. London: Routledge, 2023. http://dx.doi.org/10.4324/9781032614892-8.
Full textConference papers on the topic "Markovien"
Yu, Ting. "Approaches to Non-Markovian Quantum Open Systems: From Quantum Trajectories to Master Equations." In Workshop on Entanglement and Quantum Decoherence. Washington, D.C.: Optica Publishing Group, 2008. http://dx.doi.org/10.1364/weqd.2008.nmd3.
Full textDe Giacomo, Giuseppe, Marco Favorito, Luca Iocchi, Fabio Patrizi, and Alessandro Ronca. "Temporal Logic Monitoring Rewards via Transducers." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/89.
Full textSadeghi, M., S. Parkins, and M. D. Hoogerland. "Quantum computation in Markovian and non-Markovian regime." In Quantum 2.0. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/quantum.2022.qw2a.30.
Full textBuchholz, Peter, and Miklos Telek. "Composition and Equivalence of Markovian and Non-Markovian Models." In 2011 Eighth International Conference on Quantitative Evaluation of Systems (QEST). IEEE, 2011. http://dx.doi.org/10.1109/qest.2011.36.
Full textEz-Zizi, Adnane, Simon Farrell, and David Leslie. "Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks." In 2015 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2015. http://dx.doi.org/10.1109/ssci.2015.91.
Full textOsman, Hassab Elgawi. "Non-Markovian Reinforcement-Based on Self-Optimizing Memory Controller." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86326.
Full textMuhamad, Raees K., Tobias Birnbaum, David Blinder, Colas Schretter, and Peter Schelkens. "Perceptually lossless compression of bi-level holograms using adaptive Markovian models." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/dh.2023.hm3c.4.
Full textLim, Kian Hwee, Wai-Keong Mok, and Leong Chuan Kwek. "Oscillating bound states in non-Markovian photonic lattices." In Frontiers in Optics. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/fio.2022.jw4a.39.
Full textNguyen, Tin Chi, and Dongxiao Zhu. "MarkovBin." In BCB'13: ACM-BCB2013. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2506583.2506602.
Full textNurdin, Hendra I. "Markovian Embeddings of Non-Markovian Quantum Systems: Coupled Stochastic and Quantum Master Equations for Non-Markovian Quantum Systems." In 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023. http://dx.doi.org/10.1109/cdc49753.2023.10384215.
Full textReports on the topic "Markovien"
Blume-Kohout, Robin, John Gamble, Daniel Lobser, Peter Maunz, Erik Nielsen, Timothy Proctor, Melissa Revelle, and Kenneth Rudinger. Diagnosing and Destroying Non-Markovian Noise. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1671379.
Full textWoodroofe, Michael. The Adaptive Design of Experiments and Markovian Models. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada414376.
Full textLee, Chihoon, and Anatolii A. Puhalski. Non-Markovian State-Dependent Networks in Critical Loading. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada604423.
Full textTang, J. Non-Markovian electron transfer reactions with frequency-dependent friction. Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/10141924.
Full textKorzeniowski, Andrzej, and Gangaram S. Ladde. Modeling of Network Dynamics under Markovian and Structural Perturbations. Fort Belvoir, VA: Defense Technical Information Center, March 2011. http://dx.doi.org/10.21236/ada545400.
Full textTang, J. Non-Markovian quantum Brownian motion of a harmonic oscillator. Office of Scientific and Technical Information (OSTI), February 1994. http://dx.doi.org/10.2172/10118416.
Full textAbdel-Hameed, M. Markovian Shock Models, Deterioration Processes, Stratified Markov Processes Replacement Policies. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada174646.
Full textAyik, S. Dynamics of density fluctuations in a non-Markovian Boltzmann- Langevin model. Office of Scientific and Technical Information (OSTI), March 1996. http://dx.doi.org/10.2172/224952.
Full textNewell, Alan. Markovian Shock Models, Deterioration Processes, Stratified Markov Processes and Replacement Policies. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada174995.
Full textMilch, Paul R. Forecaster, A Markovian Model to Analyze the Distribution of Naval Officers. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada221670.
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