Literatura científica selecionada sobre o tema "Expectation-Minimization"
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Artigos de revistas sobre o assunto "Expectation-Minimization"
Sekine, Jun. "Dynamic Minimization of Worst Conditional Expectation of Shortfall". Mathematical Finance 14, n.º 4 (outubro de 2004): 605–18. http://dx.doi.org/10.1111/j.0960-1627.2004.00207.x.
Texto completo da fontePower, J. F., e M. C. Prystay. "Expectation Minimum (EM): A New Principle for the Solution of Ill-Posed Problems in Photothermal Science". Applied Spectroscopy 49, n.º 6 (junho de 1995): 709–24. http://dx.doi.org/10.1366/0003702953964499.
Texto completo da fonteCheung, Ka Chun. "Optimal Reinsurance Revisited – A Geometric Approach". ASTIN Bulletin 40, n.º 1 (maio de 2010): 221–39. http://dx.doi.org/10.2143/ast.40.1.2049226.
Texto completo da fonteChen, Fenge, Xingchun Peng e Wenyuan Wang. "Risk minimization for an insurer with investment and reinsurance via g-expectation". Communications in Statistics - Theory and Methods 48, n.º 20 (20 de fevereiro de 2019): 5012–35. http://dx.doi.org/10.1080/03610926.2018.1504077.
Texto completo da fonteCohen, Shay B., e Noah A. Smith. "Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning". Computational Linguistics 38, n.º 3 (setembro de 2012): 479–526. http://dx.doi.org/10.1162/coli_a_00092.
Texto completo da fonteGalkanov, Allaberdi G. "ABOUT INNOVATIVE METHODS OF NUMERICAL DATA AVERAGING". RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, n.º 2 (2023): 81–101. http://dx.doi.org/10.28995/2686-679x-2023-2-81-101.
Texto completo da fonteFotakis, Dimitris, Piotr Krysta e Carmine Ventre. "Efficient Truthful Scheduling and Resource Allocation through Monitoring". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 6 (18 de maio de 2021): 5423–31. http://dx.doi.org/10.1609/aaai.v35i6.16683.
Texto completo da fonteAnsley, Craig F., e Robert Kohn. "On the equivalence of two stochastic approaches to spline smoothing". Journal of Applied Probability 23, A (1986): 391–405. http://dx.doi.org/10.2307/3214367.
Texto completo da fonteAnsley, Craig F., e Robert Kohn. "On the equivalence of two stochastic approaches to spline smoothing". Journal of Applied Probability 23, A (1986): 391–405. http://dx.doi.org/10.1017/s002190020011722x.
Texto completo da fonteWeng, Wenting, e Wen Luo. "A Comparative Analysis of Data Mining Methods and Hierarchical Linear Modeling Using PISA 2018 Data". International Journal of Database Management Systems 15, n.º 2/3 (27 de junho de 2023): 1–16. http://dx.doi.org/10.5121/ijdms.2023.15301.
Texto completo da fonteTeses / dissertações sobre o assunto "Expectation-Minimization"
Barbault, Pierre. "Un ticket pour le sparse : de l'estimation des signaux et des paramètres en problèmes inverses bernoulli-gaussiens". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG049.
Texto completo da fonteMagneto/Electro Encephalography (M/EEG) imaging can be used to reconstruct focal points of cerebral activity by measuring the Electro Magnetic field produced by it. Even if the characteristic time of the recorded signals is low enough to be able to consider a linear acquisition model, the number of possible sources remains very large compared to the number of sensors. In fact, this is an ill-posed and, moreover, a large-scale problem. In order to reduce it to a 'well-posed' problem, a common assumption, and which makes sense for neurons, is that the sources are sparse i.e. that the number of non-zero values is very small. We then model the problem from a probabilistic point of view using a Bernoulli-Gaussian (BG) a priori for the sources. There are many methods that can solve such a problem, but most of them require knowledge of the parameters of the BG law. The objective of this thesis is to propose a completely unsupervised approach which allows to estimate the parameters of the BG law as well as to estimate the sources if possible. To do this, Expectation-Minimization (EM) algorithms are explored. First, the simplest case is treated: that of denoising where the linear operator is the identity. In this framework, three algorithms are proposed: A Moments method based on data statistics, an EM and a joint estimation algorithm for sources and parameters. The results show that the EM initialized by the Method of Moments is the best candidate for parameter estimation. Secondly, the previous results are extended to the general case of any linear operator thanks to the introduction of a latent variable. This variable, by decoupling the sources from the observations, makes it possible to derive so-called 'latent' algorithms which alternate between a gradient descent step and a denoising step which corresponds exactly to the problem dealt with previously. The results then show that the most effective strategy is the use of the 'latent' joint estimate which initializes the 'latent' EM. Finally, the last part of this work is devoted to theoretical considerations concerning the choice of joint or marginal estimators in the supervised case. In particular with regard to the sources and their supports. This work shows that it is possible to frame marginal problems by joint problems thanks to a reparameterization of the problem. This then makes it possible to propose a general estimation strategy based on the initialization of marginal estimation algorithms by joint estimation algorithms
Livros sobre o assunto "Expectation-Minimization"
Annala, Helka. Alisuoriutumiseen liittyvistä tekijöistä ja niihin vaikuttamisesta: Odotusvaikutusteorian sovellus alisuoriutumisen lieventämiseen = Factors associated with underachievement and ways of influencing them : application of the theory of expectation effects on minimization of underachievement. Oulu: Oulun yliopisto, 1986.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Expectation-Minimization"
O’Sullivan, Joseph A. "Alternating Minimization Algorithms: From Blahut-Arimoto to Expectation-Maximization". In Codes, Curves, and Signals, 173–92. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5121-8_13.
Texto completo da fonteNordin, Nurdiana. "Monitoring Organic Synthesis via Density Functional Theory". In Density Functional Theory - New Perspectives and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112290.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Expectation-Minimization"
Gripsy, J. Viji, e A. Jayanthiladevi. "Energy Hole Minimization in Wireless Mobile Ad Hoc Networks Using Enhanced Expectation-Maximization". In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2023. http://dx.doi.org/10.1109/icaccs57279.2023.10112728.
Texto completo da fonteShanbhag, Uday V., e Farzad Yousefian. "Zeroth-order randomized block methods for constrained minimization of expectation-valued Lipschitz continuous functions". In 2021 Seventh Indian Control Conference (ICC). IEEE, 2021. http://dx.doi.org/10.1109/icc54714.2021.9703135.
Texto completo da fonteZhang, Hu, Pan Zhou, Yi Yang e Jiashi Feng. "Generalized Majorization-Minimization for Non-Convex Optimization". In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/591.
Texto completo da fonteZhang, Xinyu, Yaohang Li, Arvid Myklebust e Paul Gelhausen. "Optimization of Geometrically Trimmed B-Spline Surfaces". In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81862.
Texto completo da fonteClarkson, Eric, Jack Denny, Harrison Barrett, Craig Abbey e Brandon Gallas. "Night-sky reconstructions for linear digital imaging systems". In Signal Recovery and Synthesis. Washington, D.C.: Optica Publishing Group, 1998. http://dx.doi.org/10.1364/srs.1998.sthc.5.
Texto completo da fonteShipway, P. H., D. G. McCartney e T. Sudaprasert. "HVOF Spraying of WC-Co Coatings with Liquid-Fuelled and Gas-Fuelled Systems: Competing Mechanisms of Structural Degradation". In ITSC2005, editado por E. Lugscheider. Verlag für Schweißen und verwandte Verfahren DVS-Verlag GmbH, 2005. http://dx.doi.org/10.31399/asm.cp.itsc2005p0963.
Texto completo da fonteKomanovics, Adrienne. "WORKPLACE PRIVACY IN THE EU : THE IMPACT OF EMERGING TECHNOLOGIES ON EMPLOYEE’S FUNDAMENTAL RIGHTS". In International Scientific Conference “Digitalization and Green Transformation of the EU“. Faculty of Law, Josip Juraj Strossmayer University of Osijek, 2023. http://dx.doi.org/10.25234/eclic/27458.
Texto completo da fonteMorris, Lloyd, Homero Murzi, Hernan Espejo, Olga Jamin Salazar De Morris e Juan Luis Arias Vargas. "Big Data Analysis in Vehicular Market Forecasts for Business Management". In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002299.
Texto completo da fonte