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1 - 12 de 12 resultados para “peter kritzer”
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  • Monte Carlo and Quasi-Monte Carlo Methods

    MCQMC 2022, Linz, Austria, July 17–22

    Edición de Aicke Hinrichs, Peter Kritzer, Friedrich Pillichshammer ...
    Series series Springer Nature Proceedings excluding Computer Science
    This book presents the refereed proceedings of the 15th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing that was held in Linz, Austria, and organized by the Johannes Kepler University Linz and the Austrian Academy of Sciences, in July 2022. These biennial conferences are major events for Monte Carlo and quasi-Monte Carlo researchers. The proceedings ... Leer más

    $251.99 USD

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  • Elements of Information Theory

    de Thomas M. Cover, Joy A. Thomas ...
    The latest edition of this classic is updated with new problem sets and materialThe Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including ... Leer más

    $110.00 USD

  • Machine Learning

    A Constraint-Based Approach

    de Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Leer más

    $71.99 USD

  • Regularized System Identification

    Learning Dynamic Models from Data

    de Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung ...
    Series series Engineering (R0)
    This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The ... Leer más

    Gratis

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    de Andreas Miroslaus Wichert, Luis Sa-couto ...
    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Leer más

    $120.99 USD

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Edición de Pierre Comon, Christian Jutten ...
    Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and ... Leer más

    $148.99 USD

  • Handbook of Monte Carlo Methods

    de Dirk P. Kroese, Thomas Taimre, Zdravko I. Botev ...
    Series Libro 706 - Wiley Series in Probability and Statistics
    A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and real-world applicationsMore and more of today’s numerical problems found in engineering and finance are solved through Monte Carlo methods. The heightened popularity of these methods and their continuing development makes it important for researchers to have a comprehensive understanding of the ... Leer más

    $154.00 USD

  • Kernel-based Approximation Methods Using Matlab

    de Gregory E Fasshauer, Michael J Mccourt ...
    Series Libro 19 - Interdisciplinary Mathematical Sciences
    In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as ... Leer más

    $30.99 USD

  • Bayesian Reasoning and Machine Learning

    de David Barber ...
    Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to ... Leer más

    $81.99 USD

  • Monte-Carlo Methods and Stochastic Processes

    From Linear to Non-Linear

    de Emmanuel Gobet ...
    Developed from the author’s course at the Ecole Polytechnique, Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear and nonlinear problems in biology, finance, geophysics, mechanics, chemistry, and other application areas. The text also ... Leer más

    $72.99 USD

  • Probability, Random Processes, and Statistical Analysis

    Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance

    de Hisashi Kobayashi, Brian L. Mark, William Turin ...
    Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) ... Leer más

    $85.99 USD

  • Learning Theory from First Principles

    de Francis Bach ...
    Series series Adaptive Computation and Machine Learning series
    A comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.Research has exploded in the field of machine learning resulting in complex mathematical arguments that are hard to grasp for new comers. . In this accessible textbook, Francis Bach presents the foundations and latest advances of learning theory for graduate students as well as researchers ... Leer más

    $48.99 USD