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A Statistical Mechanical Interpretation of Algorithmic Information Theory

This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic;

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Aspects of Kolmogorov Complexity the Physics of Information

standard of statistics as well as an applied measure for statistical communication theory. The research points to compression levels in a random;

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Algorithmic Learning Theory

; and Kolmogorov complexity, algorithmic information theory.;

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Quantum Information Theory and Quantum Statistics

mechanical notions as required. Conceived as a primer to bridge the gap between statistical physics and quantum information, it emphasizes concepts;

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Algorithmic Information Theory

Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Goedel's incompleteness;

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Complexity

systems, ergodic and probability theory), information and computer science (coding, information theory and algorithmic complexity), electrical;

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Statistics for the Behavioral Sciences

, in that it contains all information necessary to learn basic statistical analysis, with a focus on the use of statistics for behavioral sciences;

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Algorithmic Learning Theory

This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari;

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Modelling Identities

consists of 370 graves, organized in a specially crated database that records funerary ritual; and grave-good information. In the case of grave;

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Modelling Identities

consists of 370 graves, organized in a specially crated database that records funerary ritual; and grave-good information. In the case of grave;

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Algorithmic Information Theory for Physicists and Natural Scientists

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Complexity: Knots, Colourings And Countings

University. Their aim is to link together algorithmic problems arising in knot theory, statistical physics and classical combinatorics. Apart from;

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Information-Theoretic Aspects of Neural Networks

-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework;

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Frontiers in Algorithmics and Algorithmic Aspects in Information and Management

International Conference on Algorithmic Aspects in Information and Management, AAIM 2012, jointly held in Beijing, China, in May 2012. The 33 revised;

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The Green Function Method in Statistical Mechanics

This concise monograph is devoted to techniques of solving many-body problems in physics using the quantum-mechanical Green function method;

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Ferroic Functional Materials

formation of ferroic microstructures and their continuum-mechanical modeling, computational homogenization, and the algorithmic treatment in the;

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Statistical Treatment of Analytical Data

Statistical techniques have assumed an integral role in both the interpretation and quality assessment of analytical results. In this book;

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Algorithmic Game Theory

. Algorithmic Game Theory, first published in 2007, develops the central ideas and results of this exciting area in a clear and succinct manner. More;

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Multivariate Analysis

code and a broader algorithmic framework. Also features an interface between the algorithmic code and the interactive modeling system (TROLL;

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Epistemic Processes

This book discusses a link between statistical theory and quantum theory based on the concept of epistemic processes. The latter are;

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Statistical Learning from a Regression Perspective

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable;

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Probability, Statistics, and Information Theory for Scientists and Engineers

Probability, Statistics, and Information Theory for Scientists and Engineers offers students clear explanations of the most fundamental and;

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Brownian Motion

of statistical mechanics. A number of new applications of these descriptions to physical and chemical processes, as well as statistical mechanical;

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Number Theory For Computing

This book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their;

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Number Theory for Computing

This book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their;

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Number Theory for Computing

This book provides a good introduction to the classical elementary number theory and the modern algorithmic number theory, and their;

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Example-Based Super Resolution

in deep learningPresents a statistical interpretation of the subspace of natural image patches that transcends super resolution and makes;

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