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Algorithms, Probability, Networks, and Games

, probability, networks, and games, and contains a biographical sketch as well as essays and research contributions from close collaborators and former;

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Models and Algorithms for Biomolecules and Molecular Networks

By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope;

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Design of Modern Communication Networks

optimization, graph theory, probability theory and simulation techniques. The book discusses the nature and complexity of the network design process;

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Networks & Quantum Computing

networks and zeta functions; artificial neural networks for learning; quantum computation and quantum games; decomposition of general quantum gates;

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Algorithms and Models for the Web Graph

address a number of topics related to the complex networks such hypergraph coloring games and voter models; algorithms for detecting nodes with;

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Networking Games

Networking Games: Network Forming Games and Games on Networks applies game theory methods to network analyses. Its concentration on;

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Mathematics and Programming for Machine Learning with R

book begins with simple implementations and fundamental concepts of logic, sets, and probability before moving to the coverage of powerful deep;

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Mathematics and Programming for Machine Learning with R

book begins with simple implementations and fundamental concepts of logic, sets, and probability before moving to the coverage of powerful deep;

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Probability Random Processes & Statistic

Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range;

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Markov Decision Processes

of solutions or their properties. Coverage includes optimal equations, algorithms and their characteristics, probability distributions, modern;

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Probability in Electrical Engineering and Computer Science

This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and;

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Foundations of Network Optimization and Games

variational inequality theory. The principle modeling perspectives are network optimization, the theory of Nash games, and mathematical programming;

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Lifeline Engineering Systems

analysis, network evaluation, and network design. The distinctive features involved in this book are the construction of theories and methods for;

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Lifeline Engineering Systems

analysis, network evaluation, and network design. The distinctive features involved in this book are the construction of theories and methods for;

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Hands-On Neuroevolution with Python

games, robotics, and simulations Book DescriptionNeuroevolution is a form of artificial intelligence learning that uses evolutionary algorithms;

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Probabilistic Methods for Bioinformatics

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability;

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Network Games, Control and Optimization

This book constitutes the conference proceedings of the 10th International Conference on Network Games, Control and Optimization, NETGCOOP;

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Neural Networks And Artificial Intelligence For Biomedical Engineering

Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids;

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Probability, Decisions and Games

INTRODUCES THE FUNDAMENTALS OF PROBABILITY, STATISTICS, DECISION THEORY, AND GAME THEORY, AND FEATURES INTERESTING EXAMPLES OF GAMES;

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Computational Intelligence in Games

among researchers in the theory and implementation of games. Game theory is a branch of operational research dealing with decision theory in a;

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Computational Aspects of Cooperative Game Theory

theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as;

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PyTorch Recipes

then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations;

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Neural Networks For Pattern Recognition

recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions;

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Evolutionary Algorithms and Neural Networks

first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony;

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Video over Cognitive Radio Networks

This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks. The book discusses the problems and;

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Discrete Probability and Algorithms

Discrete probability theory and the theory of algorithms have become close partners over the last ten years, though the roots of this;

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Advances in Computational Intelligence

Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.;

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