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Showing 1 - 12 of 12 results for “yuxin wu”
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  • Disagreement Behavior Analysis of Signed Networks

    by Deyuan Meng, Mingjun Du, Yuxin Wu ...
    Series Book 5 - Intelligent Control and Learning Systems
    This book investigates the disagreement behavior analysis problems for signed networks in the presence of both cooperative and antagonistic interactions among agents. Owing to the existing antagonistic interactions, signed networks exhibit a variety of disagreement behaviors subject to different topology conditions, especially in comparison with commonly considered unsigned networks involving only ... Read more

    $167.99 CAD

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  • Probably Approximately Correct

    Nature's Algorithms for Learning and Prospering in a Complex World

    by Leslie Valiant ...
    From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns.How does life prosper in a complex and erratic world? While we know that nature follows patterns -- such as the law of gravity -- our everyday lives are beyond what known science can predict. We nevertheless muddle through even in the absence of theories of how to act. But ... Read more

    $15.99 CAD

  • Pattern Recognition

    by Konstantinos Koutroumbas, Sergios Theodoridis ...
    This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods ... Read more

    $95.19 CAD

  • Introduction to the Analysis of Algorithms, An

    by Robert Sedgewick, Philippe Flajolet ...
    Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully introducing primary techniques and results in the field.Robert Sedgewick and the late Philippe Flajolet ... Read more

    $76.99 CAD

  • Understanding Machine Learning

    From Theory to Algorithms

    by Shai Shalev-Shwartz, Shai Ben-David ...
    Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical ... Read more

    $68.99 CAD

  • Machine Learning

    A Constraint-Based Approach

    by 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 ... Read more

    $70.39 CAD

  • Computational Number Theory and Modern Cryptography

    by Song Y. Yan ...
    The only book to provide a unified view of the interplay between computational number theory and cryptographyComputational number theory and modern cryptography are two of the most important and fundamental research fields in information security. In this book, Song Y. Yang combines knowledge of these two critical fields, providing a unified view of the relationships between computational number ... Read more

    $114.99 CAD

  • Bayesian Networks

    An Introduction

    by Timo Koski, John Noble ...
    Series Book 924 - Wiley Series in Probability and Statistics
    Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in classroom teaching and assumes a basic knowledge of probability, statistics and mathematics. All notions ... Read more

    $120.99 CAD

  • Pattern Recognition and Machine Learning

    by Y. Anzai ...
    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the ... Read more

    $64.79 CAD

  • Kernel Methods and Machine Learning

    by S. Y. Kung ...
    Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably necessary and sufficient, for the kernelization of learning models. In addition, several other theorems are devoted to ... Read more

    $110.99 CAD

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

    by 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 ... Read more

    $151.99 CAD

  • Markov Logic

    An Interface Layer for Artificial Intelligence

    by Pedro Domingos, Daniel Lowd, Ronald Brachman, William W. Cohen, Peter Stone ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in networking, the relational model in databases, etc.). So far this interface layer has been missing in AI. First-order logic and probabilistic graphical models each have some of the necessary features, but a viable interface ... Read more

    $36.99 CAD