Relevant bibliographies by topics / MARKOVIAN APPROACH

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'MARKOVIAN APPROACH'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "MARKOVIAN APPROACH"

1

Gilpin, Michael. "Demographic stochasticity: A Markovian approach." Journal of Theoretical Biology 154, no. 1 (January 1992): 1–8. http://dx.doi.org/10.1016/s0022-5193(05)80183-3.

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Fahidy, Thomas Z. "A Markovian approach to electrodeposition." Electrochimica Acta 38, no. 8 (June 1993): 1147–48. http://dx.doi.org/10.1016/0013-4686(93)80226-p.

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Pollard, Bruce, and Mark Tippett. "Probabilistic Depreciation: A Markovian Approach." British Accounting Review 26, no. 1 (March 1994): 61–76. http://dx.doi.org/10.1006/bare.1994.1006.

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Laussel, Didier, and Ngo Van Long. "Vertical Disintegration: A Dynamic Markovian Approach." Journal of Economics & Management Strategy 21, no. 3 (July 4, 2012): 745–71. http://dx.doi.org/10.1111/j.1530-9134.2012.00345.x.

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Sen, Kanwar, and J. L. Jain. "Combinatorial approach to Markovian queueing models." Journal of Statistical Planning and Inference 34, no. 2 (February 1993): 269–79. http://dx.doi.org/10.1016/0378-3758(93)90011-t.

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Nikolova, M. "Markovian reconstruction using a GNC approach." IEEE Transactions on Image Processing 8, no. 9 (1999): 1204–20. http://dx.doi.org/10.1109/83.784433.

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Bertail, P., and S. Clémençon. "A renewal approach to Markovian U-statistics." Mathematical Methods of Statistics 20, no. 2 (June 2011): 79–105. http://dx.doi.org/10.3103/s1066530711020013.

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Cheong, C. W. "Web Server Workload Prediction: Fuzzy Markovian Approach." International Journal of Computers and Applications 26, no. 2 (January 2004): 1–6. http://dx.doi.org/10.1080/1206212x.2004.11441730.

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Yu, Ting, Lajos Diósi, Nicolas Gisin, and Walter T. Strunz. "Non-Markovian quantum-state diffusion: Perturbation approach." Physical Review A 60, no. 1 (July 1, 1999): 91–103. http://dx.doi.org/10.1103/physreva.60.91.

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Cherfi, Abraham, Michel Leeman, Florent Meurville, and Antoine Rauzy. "Modeling automotive safety mechanisms: A Markovian approach." Reliability Engineering & System Safety 130 (October 2014): 42–49. http://dx.doi.org/10.1016/j.ress.2014.04.013.

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Dissertations / Theses on the topic "MARKOVIAN APPROACH"

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Larsson, Joakim, and Henrik Sjökvist. "American Football : A Markovian Approach." Thesis, KTH, Matematisk statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188987.

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This bachelor's thesis in applied mathematics & industrial economics is an attempt to model drives in American football using Markov chains. The transition matrix is obtained through logit regression analysis on historical data from the NFL. Different outcomes of drives are modelled as separate absorbing states in the Markov chain. Absorption probabilities are calculated representing the probabilities of each outcome. Results are tested against a Markov chain with the transition matrix based on frequency analysis. Three scoring rules unanimously declare the regression based model to be superior. The application of the model pertains to live sports betting. With the insight provided by the Markovian model, a bettor should be able to make statistically informed betting decisions. The prospect of creating a start-up based on the Markovian betting model is discussed.
Denna kandidatuppsats i tillämpad matematik & industriell ekonomi är ett försök till att modellera drives i amerikansk fotboll med hjälp av Markovkedjor. Övergångsmatrisen fås genom logit-regressionsanalys av historisk data från NFL. Olika utfall av drives modelleras som separata absorberande tillstånd i Markovkedjan. Absorptionssannolikheter beräknas, vilka representerar sannolikheterna för de olika utfallen. Resultaten testas mot en Markovkedja där övergångsmatrisen fås genom frekvensanalys. Tre olika poängregler föredrar enhälligt den regressionsbaserade modellen. Modellens tillämpning berör sportbetting. Med hjälp av Markovmodellen bör en spelare kunna ta statistiskt underbyggda beslut i deras betting. Möjligheterna att skapa ett företag baserat på Markovmodellen diskuteras.
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Grave, Edouard. "A Markovian approach to distributional semantics." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2014. http://tel.archives-ouvertes.fr/tel-00940575.

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This thesis, which is organized in two independent parts, presents work on distributional semantics and on variable selection. In the first part, we introduce a new method for learning good word representations using large quantities of unlabeled sentences. The method is based on a probabilistic model of sentence, using a hidden Markov model and a syntactic dependency tree. The latent variables, which correspond to the nodes of the dependency tree, aim at capturing the meanings of the words. We develop an efficient algorithm to perform inference and learning in those models, based on online EM and approximate message passing. We then evaluate our models on intrinsic tasks such as predicting human similarity judgements or word categorization, and on two extrinsic tasks: named entity recognition and supersense tagging. In the second part, we introduce, in the context of linear models, a new penalty function to perform variable selection in the case of highly correlated predictors. This penalty, called the trace Lasso, uses the trace norm of the selected predictors, which is a convex surrogate of their rank, as the criterion of model complexity. The trace Lasso interpolates between the $\ell_1$-norm and $\ell_2$-norm. In particular, it is equal to the $\ell_1$-norm if all predictors are orthogonal and to the $\ell_2$-norm if all predictors are equal. We propose two algorithms to compute the solution of least-squares regression regularized by the trace Lasso, and perform experiments on synthetic datasets to illustrate the behavior of the trace Lasso.
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Staake, Thorsten R. "IP traffic statistics : a Markovian approach." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-0429102-123525.

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Keisling, John Davis 1969. "Approach to equilibrium for Markovian infinite particle systems with exclusion interaction." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/282248.

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The N-exclusion process is an interacting particle system that generalizes the simple exclusion process by allowing up to N particles at each site. In this work, we define the jump rates to be 1 if any particles are present and 0 if not, and we consider the infinite-volume limit of this process in arbitrary dimension. Assuming symmetry and translation invariance of the underlying Markov chain, we show that the extremal translation-invariant stationary measures are product measures, one for each given "density" of particles. With the further assumption of irreducibility, we generalize a coupling argument of Liggett to show that every translation-invariant measure converges to a mixture of these product measures.
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Siegle, Peter [Verfasser]. "Markovian Embedding of Superdiffusion within a Generalized Langevin Equation Approach / Peter Siegle." München : Verlag Dr. Hut, 2011. http://d-nb.info/1011441683/34.

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Swaminathan, Shiva. "The influence of initial conditions on power system production costing - A markovian approach." Ohio : Ohio University, 1995. http://www.ohiolink.edu/etd/view.cgi?ohiou1178904364.

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Wallin, Pontus. "Estimation of cross-border flow in electricity markets using a Markovian-Tobit approach." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-187673.

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In an electricity price forecast model the influence from connected external electricity markets affects the supply. In order to predict electricity prices in a supply and demand model one can increase the accuracy by predicting the import or export from the connected markets if the connected market models are not price optimized towards each other. There is a limit for the maximum transfer capacity of electricity between the markets and the capacity is changing in time. This thesis investigates methods of predicting the influence from connected markets by using cross validation. A multiple linear regression model is compared with varieties of the Tobit model, a model that accounts for limited or censored variables. An extension is made using Markov regime shifting models in order to evaluate if this can capture more dynamics and increase the predictive power. The result shows that a special case of the Tobit model that accounts for a time varying limit increases the accuracy of the prediction compared to the other models. The Markov regime shifting models add a greater level of complexity to the prediction, but can increase the predictive power in some cases.
Elpriset kan estimeras i en modell som tar hänsyn till tillgång och efterfrågan på elmarknaden. I en sådan prognosmodell för elpriser på elmarknaden påverkar sammankopplade elmarknader tillgången på elektricitet i modellen. Om en angränsande marknad inte har prisoptimerats mot den gällande marknadsmodellen kan en prognos för import och export av el förbättra prisprognosen. ¨Överföringskapaciteten, den maximala mängden el som kan importeras eller exporteras mellan marknaderna är begränsad och kapaciteten skiftar i tiden. Detta arbete ¨ämnar att genom korsvalidering undersöka metoder för att estimera ett sådant begränsat flöde av elektricitet mellan två marknader. En multipel linjär regression är jämförd med varianter av Tobit modellen, en modell som hanterar avgränsat data. Denna modell är utökad med gömda Markovprocesser för att undersöka om detta kan minska felet i prediktionen. Resultatet visar att ett specialfall av Tobitmodellen som kan hantera en skiftande kapacitet i tiden minskar felet på prediktionen. Markov processerna ökar komplexiteten för prediktionen, men kan minska felet i prognosen i vissa fall.
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Trapani, J. "STOCHASTIC NOISE APPROACH TO NON-MARKOVIAN DECOHERENCE IN CONTINUOUS VARIABLE OPEN QUANTUM SYSTEMS." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/465686.

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In this PHD thesis, I address the study of the evolution of quantum correlations of continuous variable systems interacting with classical environments, portrayed by classical stochastic fields. In particular, the first goal is individuating the working regimes where a full quantum description of the system-environment interaction may be simulated with a stochastic approach. As a paradigmatic example, I consider quantum harmonic oscillators subject to phase diffusion and dissipation decoherence. My results show that the stochastic noise may take over the full quantum description of Markovian dephasing channels, while a stochastic approach to dissipation only works at a high temperature in the early stage of the dynamics. The second goal consists in better exploring the connection between the dynamics of correlations of the system, non-Markovianity and backflow of information. In many situations non-Markovianity cannot be proved but only revealed by means of appropriate witnesses, usually associated to backflow of information. My results show that stochastic phase diffusing and stochastic dissipative environments lead to non-Markovian dynamics, but their non-Markovianity stays unwitnessed unless revivals of correlations as nonclassicality, entanglement or discord are detected. This suggests that non-Markovianity sets the natural framework for revivals of correlations, but the true resource to obtain revivals is the backflow of information. The third goal consists in showing that effects of local or global noise on a bipartite system may easily be distinguished by means of standard laboratory techniques. Indeed, my results show that homodyne-detection-based schemes may discriminate the effects of a global stochastic noise affecting two probes from local perturbation, using as states of the probe “lab-friendly” states.
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Huisinga, Wilhelm. "Metastability of Markovian systems a transfer operator based approach in application to molecular dynamics /." [S.l.] : [s.n.], 2001. http://www.diss.fu-berlin.de/2001/277/index.html.

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Kato, Akihito. "Analysis of the Quantum Heat Transport under Non-Perturbative and Non-Markovian Conditions: The Hierarchical Equations of Motion Approach." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225419.

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Books on the topic "MARKOVIAN APPROACH"

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La circulation entre les savoirs au siècle des Lumières: Hommages à Francine Markovits. Paris: Hermann, 2011.

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Joye, Alain, Stéphane Attal, and Claude-Alain Pillet. Open Quantum Systems II: The Markovian Approach. Springer London, Limited, 2006.

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(Editor), Stéphane Attal, Alain Joye (Editor), and Claude-Alain Pillet (Editor), eds. Open Quantum Systems II: The Markovian Approach (Lecture Notes in Mathematics). Springer, 2006.

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Coolen, A. C. C., A. Annibale, and E. S. Roberts. Random graph ensembles. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0003.

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This chapter presents some theoretical tools for defining random graph ensembles systematically via soft or hard topological constraints including working through some properties of the Erdös-Rényi random graph ensemble, which is the simplest non-trivial random graph ensemble where links appear between two nodes with a fixed probability p. The chapter sets out the central representation of graph generation as the result of a discrete-time Markovian stochastic process. This unites the two flavours of graph generation approaches – because they can be viewed as simply moving forwards or backwards through this representation. It is possible to define a random graph by an algorithm, and then calculate the associated stationary probability. The alternative approach is to specify sampling weights and then to construct an algorithm that will have these weights as the stationary probabilities upon convergence.
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Morawetz, Klaus. Quantum Kinetic Equations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198797241.003.0009.

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The gradient approximations of the Kadanoff and Baym equations are derived up to first order. The off-shell motions responsible for the satellites are shown to ensure causality. The cancellation of off-shell motions from the drift and correlation part of the reduced density provides a precursor of the kinetic equation for the quasiparticle distribution which leads to a functional between reduced and quasiparticle distribution, named the extended quasiparticle picture. Virial corrections appear as internal gradients in the selfenergy and therefore in the considered processes. With this extended quasiparticle picture, the non-Markovian kinetic equations are transformed into Markovian ones for proper defined quasiparticles without neglect showing the exact cancellation of off-shell parts. Alternative approaches are discussed for comparison.
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Strasberg, Philipp. Quantum Stochastic Thermodynamics. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192895585.001.0001.

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Abstract Processes at the nanoscale happen far away from the thermodynamic limit, far from equilibrium and are dominated by fluctuations and, perhaps, even quantum effects. This book establishes a consistent thermodynamic framework for such processes by combining tools from non-equilibrium statistical mechanics and the theory of open quantum systems. The book is accessible for graduate students and of interest to all researchers striving for a deeper understanding of the laws of thermodynamics beyond their traditional realm of applicability. It puts most emphasis on the microscopic derivation and understanding of key principles and concepts as well as their interrelation. The topics covered in this book include (quantum) stochastic processes, (quantum) master equations, local detailed balance, classical stochastic thermodynamics, (quantum) fluctuation theorems, strong coupling and non non-Markovian effects, thermodynamic uncertainty relations, operational approaches, Maxwell's demon and time-reversal symmetry, among other topics. Furthermore, the book treats a few applications in detail to illustrate the general theory and its potential for practical applications. These are single-molecule pulling experiments, quantum transport and thermoelectric effects in quantum dots, the micromaser and related set-ups in quantum optics.
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Book chapters on the topic "MARKOVIAN APPROACH"

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Beyer, Dirk, Feng Cheng, Suresh P. Sethi, and Michael Taksar. "Vanishing Discount Approach Versus Stationary Distribution Approach." In Markovian Demand Inventory Models, 179–207. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71604-6_9.

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Miao, Ruixuan, Xu Lu, and Jin Cui. "An Approach of Transforming Non-Markovian Reward to Markovian Reward." In Structured Object-Oriented Formal Language and Method, 12–29. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29476-1_2.

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Kang, Yu, Yun-Bo Zhao, and Ping Zhao. "Networked Control System: A Markovian Jump System Approach." In Stability Analysis of Markovian Jump Systems, 131–47. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3860-0_6.

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Zhao, Xinyu, and Ting Yu. "Non-Markovian Fermionic Quantum State Diffusion Approach." In Topics in Applied Physics, 301–43. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93460-6_10.

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Sbihi, A., A. Moussa, B. Benmiloud, and J. G. Postaire. "A Markovian Approach to Unsupervised Multidimensional Pattern Classification." In Studies in Classification, Data Analysis, and Knowledge Organization, 247–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59789-3_40.

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Hafri, Younes, Chabane Djeraba, Peter Stanchev, and Bruno Bachimont. "A Markovian Approach for Web User Profiling and Clustering." In Advances in Knowledge Discovery and Data Mining, 191–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36175-8_19.

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Buchholz, Peter. "A Heuristic Approach for the Aggregation of Markovian Submodels." In Messung, Modellierung und Bewertung von Rechen- und Kommunikationssystemen, 117–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78495-8_10.

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Chen, Jiu Jun, Ji Gao, Jun Hu, and Bei Shui Liao. "A Hierarchical Markovian Mining Approach for Favorite Navigation Patterns." In SOFSEM 2005: Theory and Practice of Computer Science, 92–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-30577-4_12.

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van Dijk, David, Marco Ferrante, Nicola Ferro, and Evangelos Kanoulas. "A Markovian Approach to Evaluate Session-Based IR Systems." In Lecture Notes in Computer Science, 621–35. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15712-8_40.

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Melodelima, Christelle, and Christian Gautier. "A Markovian Approach for the Segmentation of Chimpanzee Genome." In Bioinformatics Research and Development, 251–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71233-6_20.

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Conference papers on the topic "MARKOVIAN APPROACH"

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Nicolas, S., T. Paquet, and L. Heutte. "A Markovian Approach for Handwritten Document Segmentation." In 2006 18th International Conference on Pattern Recognition. IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.94.

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Tipaldi, Massimo, and Luigi Glielmo. "A Markovian based approach for autonomous space systems." In 2015 IEEE Metrology for Aerospace (MetroAeroSpace). IEEE, 2015. http://dx.doi.org/10.1109/metroaerospace.2015.7180695.

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Samiee, S., M. B. Shamsollahi, and V. Vigneron. "A new Markovian approach towards neural spike sorting." In 2011 8th International Conference on Information, Communications & Signal Processing (ICICS 2011). IEEE, 2011. http://dx.doi.org/10.1109/icics.2011.6173566.

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Carter, N., D. Young, and J. Ferryman. "A Combined Bayesian Markovian Approach for Behaviour Recognition." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.47.

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Pignieri, F., F. De Rango, F. Veltri, and S. Marano. "Markovian approach to model Underwater Acoustic channel: Techniques comparison." In MILCOM 2008 - 2008 IEEE Military Communications Conference (MILCOM). IEEE, 2008. http://dx.doi.org/10.1109/milcom.2008.4753161.

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Jung, Hwisung, and Massoud Pedram. "Stochastic Dynamic Thermal Management: A Markovian Decision-based Approach." In 2006 International Conference on Computer Design. IEEE, 2006. http://dx.doi.org/10.1109/iccd.2006.4380855.

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Liouane, Zaineb, Tayeb Lemlouma, Philippe Roose, Fréderic Weis, and Hassani Messaoud. "A Markovian-based Approach for Daily Living Activities Recognition." In 5th International Conference on Sensor Networks. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0005809502140219.

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Buchholz, Peter, and Jan Kriege. "Aggregation of Markovian Models -- An Alternating Least Squares Approach." In 2012 Ninth International Conference on Quantitative Evaluation of Systems (QEST). IEEE, 2012. http://dx.doi.org/10.1109/qest.2012.17.

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Dahmouni, Hamza, Sandrine Vaton, and David Rossé. "A markovian signature-based approach to IP traffic classification." In the 3rd annual ACM workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1269880.1269889.

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Fazio, Peppino, Mauro Tropea, Cesare Sottile, and Andrea Lupia. "Vehicular networking and channel modeling: A new Markovian approach." In 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2015. http://dx.doi.org/10.1109/ccnc.2015.7158064.

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