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Bayesian and High-Dimensional Global Optimization

portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called 'curse of dimensionality'. An;

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Bayesian Process Monitoring, Control and Optimization

by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize;

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An Introduction to Bayesian Analysis

-life data can be analyzed using the current techniques of statistical computing. Advances in both low-dimensional and high;

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Learning and Intelligent Optimization

, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic;

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5G Networks

are data driven, high dimensional and clustered. The reader will learn: 5G concepts, how they are linked and their effect on;

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Bayesian Optimization with Application to Computer Experiments

This book introduces readers to Bayesian optimization, highlighting advances in the field and showcasing its successful applications to;

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

and adapt. Topics covered include: classical optimization methods one dimensional optimization unconstrained and constrained optimization;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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The GLOBAL Optimization Algorithm

dimensional global optimization problems. The algorithm uses clustering to ensure efficiency and is modular in regard to the two local search methods;

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Intelligent Machining

Machining, as a reliable manufacturing process, still offers unmatched capabilities in producing high quality three-dimensional parts from;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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Swarm Intelligence Methods for Statistical Regression

A core task in statistical analysis, especially in the era of Big Data, is the fitting of flexible, high-dimensional, and non-linear models;

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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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Multi-Objective Optimization utilizing Cluster Analysis applied to Dimensional Transposed Problems

. The approach abstracts the transposition of large, high-dimensional and diverse data models to low-dimensional uniform equivalents within an;

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Nature Inspired Computing for Data Science

health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep;

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Global Optimization

study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an;

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Memetic Computation

across problems, multitasking, and large-scale (high dimensional) search, systematically discussing associated algorithmic developments that;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Bayesian Statistical Methods

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;

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Bayesian Statistical Methods

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;

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MM Optimization Algorithms

algorithms, which are ideal for high-dimensional optimization problems in data mining, imaging, and genomics. Derives numerous algorithms from a;

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Efficient Asset Management

optimization is shown to be a Bayesian-based generalization and enhancement of Markowitz's solution. RE technology corrects many current practices;

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Mathematical Theory of Bayesian Statistics

. Provides a mathematical framework for conventional Bayesian theorems. Introduces and proves new theorems. Cross;

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Mathematical Theory of Bayesian Statistics

mathematical framework for conventional Bayesian theorems. Introduces and proves new theorems. Cross validation and information;

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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian;

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