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A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.The process of inductive inference--to infer general laws and principles from particular instances--is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of the data--that the more we are able to compress the data, the more we learn about the regularities underlying the data. Advances in Minimum Description Length is a sourcebook that will introduce the scientific community to the foundations of MDL, recent theoretical advances, and practical applications. The book begins with an extensive tutorial on MDL, covering its theoretical underpinnings, practical implications as well as its various interpretations, and its underlying philosophy. The tutorial includes a brief history of MDL--from its roots in the notion of Kolmogorov complexity to the beginning of MDL proper. The book then presents recent theoretical advances, introducing modern MDL methods in a way that is accessible to readers from many different scientific fields. The book concludes with examples of how to apply MDL in research settings that range from bioinformatics and machine learning to psychology.

Minimum description length (Information theory) --- Mathematical statistics --- Machine learning --- Information theory --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Communication theory --- Learning, Machine --- Statistical inference --- Statistics, Mathematical --- Description length, Minimum (Information theory) --- Length, Minimum description (Information theory) --- MDL (Information theory) --- Statistical methods --- Communication --- Cybernetics --- Artificial intelligence --- Machine theory --- Statistics --- Probabilities --- Sampling (Statistics) --- Mathematical statistics. --- Machine learning. --- Information theory. --- COMPUTER SCIENCE/Machine Learning & Neural Networks

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Hard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built under pessimistic assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption, tolerate overloads and adapt to system changes. They are also more suited to novel applications of real-time technology, such as multimedia systems, monitoring apparatuses, telecommunication networks, mobile robotics, virtual reality, and interactive computer games. This unique monograph provides concrete methods for building flexible, predictable soft real-time systems, in order to optimize resources and reduce costs. It is an invaluable reference for developers, as well as researchers and students in Computer Science.

Real-time data processing. --- Operating systems (Computers) --- Computer capacity --- Planning. --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Fast-response data processing --- High-speed data processing --- Electronic data processing --- Operating systems --- Information theory. --- Operating systems (Computers). --- Software engineering. --- Multimedia systems. --- Theory of Computation. --- Operating Systems. --- Software Engineering/Programming and Operating Systems. --- Multimedia Information Systems. --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Computer software engineering --- Engineering --- Communication theory --- Communication --- Cybernetics

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This first volume in the series "Algorithms and Computation in Mathematics" is destined to become the standard reference work in the field. Manuel Bronstein is a leading expert on this topic and his book is the first to treat the subject both comprehensively and in sufficient detail - incorporating new results along the way. The book addresses mathematicians and computer scientists interested in symbolic computation, developers and programmers of computer algebra systems as well as users of symbolic integration methods. Many algorithms are given in pseudocode ready for immediate implementation, making the book equally suitable as a textbook for lecture courses on symbolic integration. This second edition offers a new chapter on parallel integration, as well as a few comments on obtaining continuous antiderivatives and additional exercises. From the Reviews "The goal of this well-written book is to present the state of the art in the domain of "integration in finite terms". ... Both aspects of the work, mathematics and implementation, are present in the book. Moreover, Bronstein has chosen a good level of detail, and in such a way that he only deals with the case of transcendental functions. ..." J.M.Ollagnier, Mathematical Reviews 2002 "... It makes an excellent textbook for courses in computer algebra. It contains many exercises and the algorithms are presented in pseudocode, which is easy to implement in any computer algebra system. For those interested in symbolic integration it will become the standard reference." N.A.van Arkel, Medelingen van het wiskundig genootschap 1998 "... The writing is excellent, and the author provides a clear and coherent treatment of the problem of symbolic integration of transcendental functions. Each chapter includes several worked examples and a list of additional exercises. Every researcher and teacher in symbolic computation should have access to this book." F.Winkler, Computing Reviews 1997 "My first thought on seeing this book was "I wish I had written it" - it resembles my lecture notes on the subject, but is better and more complete. ... In sum, the book does what it sets out to do, does it well, and should be on the bookshelf of every implementer or teacher." J.Davenport, The SAC Newsletter 2, 1997.

Integrals --- Calculus, Integral --- Data processing. --- Integral calculus --- Differential equations --- Mathematical analysis --- Global analysis (Mathematics). --- Algebra. --- Information theory. --- Algebra --- Algorithms. --- Analysis. --- Theory of Computation. --- Symbolic and Algebraic Manipulation. --- Algorism --- Arithmetic --- Communication theory --- Communication --- Cybernetics --- Mathematics --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Foundations --- Mathematical analysis. --- Analysis (Mathematics). --- Computers. --- Computer science—Mathematics. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Machine theory --- Calculators --- Cyberspace --- 517.1 Mathematical analysis

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Communication Systems is as an introductory textbook, presenting Fourier transform, convolution, and definitions of autocorrelation and power spectral density. It also introduces concepts of probability, random variables, and stochastic processes and their applications to the analysis of linear systems. Innovatively, the text treats the modulation process using stochastic processes as well as covers amplitude modulation, quadrature modulation, angle modulation, mobile cellular systems, propagation channels and more. Quantization and coding of analog signals is also treated, as well as speech coding. Channel modeling, including channel characteristics and propagation, is covered with an emphasis on simple models. Transmission and reception of modulated carriers is included as well as the required transmitting and receiving equipment. Mobile communication is also covered and considers both analog and digital systems. The authors provide five appendices which cover topics such as Fourier series and transforms, Hilbert transform, important formulae, and cellular systems including CDMA and GSM standards. Many examples are provided as well as problems at the end of each chapter to allow the reader to practice his acquired knowledge.

Signal processing --- Digital communications. --- Digital techniques. --- Communications, Digital --- Digital transmission --- Pulse communication --- Digital electronics --- Pulse techniques (Electronics) --- Telecommunication --- Digital media --- Digital signal processing --- Digital communications --- Digital techniques --- Telecommunication. --- Coding theory. --- Communications Engineering, Networks. --- Coding and Information Theory. --- Signal, Image and Speech Processing. --- Data compression (Telecommunication) --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Telecommuting --- Electrical engineering. --- Information theory. --- Signal processing. --- Image processing. --- Speech processing systems. --- Processing, Signal --- Information measurement --- Electric engineering --- Engineering --- Communication theory --- Cybernetics --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing

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Contains lecture notes on four topics at the forefront of research in computational mathematics. This book presents a self-contained guide to a research area, an extensive bibliography, and proofs of the key results. It is suitable for professional mathematicians who require an accurate account of research in areas parallel to their own.

Computer science. --- Computers. --- Computer mathematics. --- Numerical analysis. --- Physics. --- Computational intelligence. --- Computer Science. --- Theory of Computation. --- Numerical Analysis. --- Computational Mathematics and Numerical Analysis. --- Computational Science and Engineering. --- Numerical and Computational Physics. --- Computational Intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Mathematical analysis --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Science --- Mathematics --- Numerical analysis --- Information theory. --- Computer science --- Engineering. --- Numerical and Computational Physics, Simulation. --- Mathematics. --- Construction --- Industrial arts --- Technology --- Communication theory --- Communication