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The EM Algorithm and Extensions

of the EM algorithm Complete with updates that capture developments from the past decade, The EM Algorithm and Extensions, Second Edition;

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The EM Algorithm and Related Statistical Models

Exploring the application and formulation of the EM algorithm, The EM Algorithm and Related Statistical Models offers a valuable method for;

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Introduction to Linear Goal Programming

Provides a concise and lucid overview of the linear goal programming model, a computationally efficient algorithm for solution, duality and;

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Levels of Processing 30 Years On

This special issue of the journal Memory celebrates thirty years of research into the levels of processing (LoP) framework;

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Image Reconstruction

, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly under-sampled data are included. The last chapter;

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Algebraic Coding Theory

and Bose-Chaudhuri-Hocquenghem codes that subsequently became known as the Berlekamp-Massey Algorithm. Another is the Berlekamp algorithm for;

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Solving Polynomial Equation Systems

In this fourth and final volume the author extends Buchberger's Algorithm in three different directions. First, he extends the theory to;

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Mathematical Programs with Equilibrium Constraints

programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant;

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Mathematical Programs with Equilibrium Constraints

programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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Analysis of Incomplete Multivariate Data

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions;

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Ensemble Learning

, challenges, and applications. More than a third of this edition comprised of new materials, highlighting descriptions of the classic methods, and;

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Optimization of Multilayered Radar Absorbing Structures (RAS) using Nature Inspired Algorithm

of multilayered RAS as well as the step-by-step procedure for the implementation of PSO-based algorithm. The accuracy and computational efficiency of the;

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Practical Global Illumination with Irradiance Caching

algorithm is scarce. The main objective of this book is to show the irradiance caching algorithm along with all the details and tricks upon which;

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Methods of Statistical Model Estimation

maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R;

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Methods of Statistical Model Estimation

maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R;

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Fortran 95/2003 Explained

Fortran remains one of the principal languages used in scientific, numerical and engineering programming and a series of revisions to the;

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Kalman Filtering and Neural Networks

of chaotic processes* The dual estimation problem* Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman;

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Genetic Algorithms and Genetic Programming

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context;

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Genetic Algorithms and Genetic Programming

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context;

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An Innovative and Tested Provisioning Algorithm for VPN

contributions, through Research extensions and Development, the author has developed an innovative and new provisioning algorithm called "COPVA" This;

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Handbook of Mixture Analysis

of the methods and applications of this important field of research. It covers a wide array of topics, including the EM algorithm, Bayesian;

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Group Majorization Methods

. Provides the reader with insights into the Matrix Inequalities and Their Extensions to Lie Groups in order to give a methodical and efficient;

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Creating Google Chrome Extensions

browsing experience and that of your users. This book shows you how Google Chrome browser extensions are extremely useful tools for enhancing the;

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Simple Extensions with the Minimum Degree Relations of Integral Domains

, such as flatness, integrality, and unramifiedness. Some of the topics discussed include Sharma polynomials, vanishing points, Noetherian;

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Simple Extensions with the Minimum Degree Relations of Integral Domains

, such as flatness, integrality, and unramifiedness. Some of the topics discussed include Sharma polynomials, vanishing points, Noetherian;

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Metaheuristic Optimization

optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and;

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