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Relevant bibliographies by topics / Expectation-Minimization

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Academic literature on the topic 'Expectation-Minimization'

Author: Grafiati

Published: 25 May 2024

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Journal articles on the topic "Expectation-Minimization"

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Sekine, Jun. "Dynamic Minimization of Worst Conditional Expectation of Shortfall." Mathematical Finance 14, no. 4 (2004): 605–18. http://dx.doi.org/10.1111/j.0960-1627.2004.00207.x.

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Power, J. F., and M. C. Prystay. "Expectation Minimum (EM): A New Principle for the Solution of Ill-Posed Problems in Photothermal Science." Applied Spectroscopy 49, no. 6 (1995): 709–24. http://dx.doi.org/10.1366/0003702953964499.

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The expectation-minimum (EM) principle is a new strategy for recovering robust solutions to the ill-posed inverse problems of photothermal science. The expectation-minimum principle uses the addition of well-characterized random noise to a model basis to be fitted to the experimental response by linear minimization or projection techniques. The addition of noise to the model basis improves the conditioning of the basis by many orders of magnitude. Multiple projections of the data onto the basis in the presence of noise are averaged, to give the solution vector as an expectation value which rel

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Cheung, Ka Chun. "Optimal Reinsurance Revisited – A Geometric Approach." ASTIN Bulletin 40, no. 1 (2010): 221–39. http://dx.doi.org/10.2143/ast.40.1.2049226.

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AbstractIn this paper, we reexamine the two optimal reinsurance problems studied in Cai et al. (2008), in which the objectives are to find the optimal reinsurance contracts that minimize the value-at-risk (VaR) and the conditional tail expectation (CTE) of the total risk exposure under the expectation premium principle. We provide a simpler and more transparent approach to solve these problems by using intuitive geometric arguments. The usefulness of this approach is further demonstrated by solving the VaR-minimization problem when the expectation premium principle is replaced by Wang's premiu

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Chen, Fenge, Xingchun Peng, and Wenyuan Wang. "Risk minimization for an insurer with investment and reinsurance via g-expectation." Communications in Statistics - Theory and Methods 48, no. 20 (2019): 5012–35. http://dx.doi.org/10.1080/03610926.2018.1504077.

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Cohen, Shay B., and Noah A. Smith. "Empirical Risk Minimization for Probabilistic Grammars: Sample Complexity and Hardness of Learning." Computational Linguistics 38, no. 3 (2012): 479–526. http://dx.doi.org/10.1162/coli_a_00092.

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Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. They are used ubiquitously in computational linguistics. We present a framework, reminiscent of structural risk minimization, for empirical risk minimization of probabilistic grammars using the log-loss. We derive sample complexity bounds in this framework that apply both to the supervised setting and the unsupervised setting. By making assumptions about the underlying distribution that are appropriate for natural language scenarios, we are able to derive distribution-dependent

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Galkanov, Allaberdi G. "ABOUT INNOVATIVE METHODS OF NUMERICAL DATA AVERAGING." RSUH/RGGU Bulletin. Series Information Science. Information Security. Mathematics, no. 2 (2023): 81–101. http://dx.doi.org/10.28995/2686-679x-2023-2-81-101.

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Numerical data refers to any finite set of data in the form of numbers, vectors, functions, matrices representing the results of an experiment or field observations. Averaging of deterministic, random variables and matrices is considered from a single point of view as a minimization of a function in the form of a generalized least squares problem. A new definition of the mean is given. Three generalizations of averages are obtained as solutions to the minimization problem. If the known averages are harmonic, geometric, arithmetic and quadratic averages and, perhaps, some other averages, then t

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Fotakis, Dimitris, Piotr Krysta, and Carmine Ventre. "Efficient Truthful Scheduling and Resource Allocation through Monitoring." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (2021): 5423–31. http://dx.doi.org/10.1609/aaai.v35i6.16683.

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We study the power and limitations of the Vickrey-Clarke-Groves mechanism with monitoring (VCGmon) for cost minimization problems with objective functions that are more general than the social cost. We identify a simple and natural sufficient condition for VCGmon to be truthful for general objectives. As a consequence, we obtain that for any cost minimization problem with non-decreasing objective μ, VCGmon is truthful, if the allocation is Maximal-in-Range and μ is 1-Lipschitz (e.g., μ can be the Lp-norm of the agents’ costs, for any p ≥ 1 or p = ∞). We apply VCGmon to scheduling on restricted

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Ansley, Craig F., and 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.

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Wahba (1978) and Weinert et al. (1980), using different models, show that an optimal smoothing spline can be thought of as the conditional expectation of a stochastic process observed with noise. This observation leads to efficient computational algorithms. By going back to the Hilbert space formulation of the spline minimization problem, we provide a framework for linking the two different stochastic models. The last part of the paper reviews some new efficient algorithms for spline smoothing.

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Ansley, Craig F., and 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.

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Wahba (1978) and Weinert et al. (1980), using different models, show that an optimal smoothing spline can be thought of as the conditional expectation of a stochastic process observed with noise. This observation leads to efficient computational algorithms. By going back to the Hilbert space formulation of the spline minimization problem, we provide a framework for linking the two different stochastic models. The last part of the paper reviews some new efficient algorithms for spline smoothing.

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Weng, Wenting, and Wen Luo. "A Comparative Analysis of Data Mining Methods and Hierarchical Linear Modeling Using PISA 2018 Data." International Journal of Database Management Systems 15, no. 2/3 (2023): 1–16. http://dx.doi.org/10.5121/ijdms.2023.15301.

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Educational research often encounters clustered data sets, where observations are organized into multilevel units, consisting of lower-level units (individuals) nested within higher-level units (clusters). However, many studies in education utilize tree-based methods like Random Forest without considering the hierarchical structure of the data sets. Neglecting the clustered data structure can result in biased or inaccurate results. To address this issue, this study aimed to conduct a comprehensive survey of three tree- based data mining algorithms and hierarchical linear modeling (HLM). The st

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Dissertations / Theses on the topic "Expectation-Minimization"

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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.

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L'imagerie par Magnéto/Électro Encéphalographie (M/EEG) peut servir à reconstruire les foyers d'activité cérébrale en mesurant le champ Électro Magnétique produit par ce dernier. Même si le temps caractéristique des signaux enregistrés est assez faible pour pouvoir envisager un modèle linéaire d'acquisition, le nombre de sources possibles reste très large face au nombre de capteurs. De fait, il s'agit là d'un problème mal posé et de surcroît de grande dimension. Afin de se ramener dans le cadre d'un problème qui admet une hypothèse courante, et qui fait sens pour les neurones, est que les sour

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Books on the topic "Expectation-Minimization"

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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. Oulun yliopisto, 1986.

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Book chapters on the topic "Expectation-Minimization"

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O’Sullivan, Joseph A. "Alternating Minimization Algorithms: From Blahut-Arimoto to Expectation-Maximization." In Codes, Curves, and Signals. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5121-8_13.

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Nordin, 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.

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A preliminary molecular structure for a system, which may or may not be known, is the first step in a typical investigation using ab initio techniques. A stable system is generated by a geometry search using an energy minimization method (usually a local minimum or transition state). Subsequently, it is easy to obtain any energetic properties (such as atomization energies, formation temperatures, binding energies) or expectation values or quantifiable quantities from the wave function of the molecular system and its fragments. The stability of such a system can be determined by considering the second derivative of the energy with respect to the spatial coordinates (also known as the Hessian matrix). It could be a goal to find out how the system interacts with other systems and eventually to decipher the synthesis pathways. Therefore, this chapter presents a recent application of approaches based on density functional theory (DFT) to study chemical processes at the catalytic sites of enzymes. The focus is on the interaction of small organic molecules with the ability to inhibit a catalytic cysteine of the malaria parasite, in the area of drug design.

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Conference papers on the topic "Expectation-Minimization"

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Gripsy, J. Viji, and 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.

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Shanbhag, Uday V., and 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.

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Zhang, Hu, Pan Zhou, Yi Yang, and Jiashi Feng. "Generalized Majorization-Minimization for Non-Convex Optimization." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/591.

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Majorization-Minimization (MM) algorithms optimize an objective function by iteratively minimizing its majorizing surrogate and offer attractively fast convergence rate for convex problems. However, their convergence behaviors for non-convex problems remain unclear. In this paper, we propose a novel MM surrogate function from strictly upper bounding the objective to bounding the objective in expectation. With this generalized surrogate conception, we develop a new optimization algorithm, termed SPI-MM, that leverages the recent proposed SPIDER for more efficient non-convex optimization. We pro

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Zhang, Xinyu, Yaohang Li, Arvid Myklebust, and 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.

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Unlike the visual trimming of B-spline surfaces, which hides unwanted portions in rendering, the geometric trimming approach provides a mathematically clean representation without redundancy. However, the process may lead to significant deviation from the corresponding portion on the original surface. Optimization is required to minimize approximation errors and obtain higher accuracy. In this paper, we describe the application of a novel global optimization method, so-called hybrid Parallel Tempering (PT) and Simulated Annealing (SA) method, for the minimization of B-spline surface representa

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Clarkson, Eric, Jack Denny, Harrison Barrett, Craig Abbey, and Brandon Gallas. "Night-sky reconstructions for linear digital imaging systems." In Signal Recovery and Synthesis. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/srs.1998.sthc.5.

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In tomographic and other digital imaging systems the goal is often to reconstruct an object function from a finite amount of noisy data generated by that function through a system operator. One way to determine the reconstructed function is to minimize the distance between the noiseless data vector it would generate via the system operator, and the data vector created through the system by the real object and noise. The former we will call the reconstructed data vector, and the latter the actual data vector. A reasonable constraint to place on this minimization problem is to require that the r

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Shipway, P. H., D. G. McCartney, and T. Sudaprasert. "HVOF Spraying of WC-Co Coatings with Liquid-Fuelled and Gas-Fuelled Systems: Competing Mechanisms of Structural Degradation." In ITSC2005, edited by E. Lugscheider. Verlag für Schweißen und verwandte Verfahren DVS-Verlag GmbH, 2005. http://dx.doi.org/10.31399/asm.cp.itsc2005p0963.

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Abstract It is widely known that during high velocity oxy-fuel (HVOF) spraying of tungsten carbide – cobalt (WC-Co) coatings, decomposition occurs resulting in the formation of W2C and a relatively brittle amorphous binder phase (along with other carbides and even metallic tungsten). Decomposition has generally been seen to be deleterious to the wear resistance of these coatings and, as such, there have been moves to reduce it. Since decomposition during spraying initiates with WC dissolution into the molten binder phase, strategies for its minimization have been based on reduction of particle

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Komanovics, 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.

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Over the last decade, several new technologies have been adopted that enable more systematic surveillance of employees, creating significant challenges to privacy and data protection. The risks posed by the new devices and methods were exacerbated with the advent of Covid, with the involuntary introduction of digital tools to measure work output and efforts to get visibility back in the workplace through new means. Against this backdrop, the article aims to examine the main issues in workplace surveillance. After a brief overview of the range of surveillance methods, such as video surveillance

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Morris, Lloyd, Homero Murzi, Hernan Espejo, Olga Jamin Salazar De Morris, and 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.

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Information in various markets constitutes the primary basis for making the right decisions in a modern and globalized world. Therefore, opportunities grow based on the availability of data and how the data is structured to obtain information that supports decision-making processes, Ogrean (2018) and Neubert (2018), and even more so when business dynamics revolve around satisfying the demand for the products or services offered, Jacobs and Chase (2009). This article proposes the analysis of the new vehicle market, through operational research techniques, addressing the behavior of vehicle sale

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