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Showing 1 - 12 of 12 results for “hiroshi murase”
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  • Pattern Recognition and Machine Learning for Self-Study I

    Supervised Learning

    by Kenichiro Ishii, Naonori Ueda, Eisaku Maeda, Hiroshi Murase ...
    Series series Mathematics and Statistics (R0)
    This book explains the basic principles of pattern recognition (PR) and machine learning (ML) in an easy-to-understand manner for beginners who are trying to learn these principles on their own. Readers with a basic knowledge of linear algebra and probability theory will find it easy to follow.Many excellent books in this field have been published in the past. However, these books are not ... Read more

    $89.99 CAD

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  • A Wavelet Tour of Signal Processing

    The Sparse Way

    by Stephane Mallat ...
    Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the ... Read more

    $95.99 CAD

  • Introduction to Statistical Pattern Recognition

    by Keinosuke Fukunaga ...
    This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded ... Read more

    $64.99 CAD

  • Information Geometry and Its Applications

    by Shun-ichi Amari ...
    Series series Mathematics and Statistics (R0)
    This is the first comprehensive book on information geometry, written by the founder of the field. It begins with an elementary introduction to dualistic geometry and proceeds to a wide range of applications, covering information science, engineering, and neuroscience. It consists of four parts, which on the whole can be read independently. A manifold with a divergence function is first introduced ... Read more

    $153.69 CAD

  • Nonlinear Time Series Analysis

    by Holger Kantz, Thomas Schreiber ...
    The paradigm of deterministic chaos has influenced thinking in many fields of science. Chaotic systems show rich and surprising mathematical structures. In the applied sciences, deterministic chaos provides a striking explanation for irregular behaviour and anomalies in systems which do not seem to be inherently stochastic. The most direct link between chaos theory and the real world is the ... Read more

    $106.99 CAD

  • Multivariate Statistical Analysis in the Real and Complex Domains

    by Arak M. Mathai, Serge B. Provost, Hans J. Haubold ...
    Series series Mathematics and Statistics (R0)
    This book explores topics in multivariate statistical analysis, relevant in the real and complex domains. It utilizes simplified and unified notations to render the complex subject matter both accessible and enjoyable, drawing from clear exposition and numerous illustrative examples. The book features an in-depth treatment of theory with a fair balance of applied coverage, and a classroom lecture ... Read more

    Free

  • Machine Learning with Quantum Computers

    by Maria Schuld, Francesco Petruccione ...
    Series series Physics and Astronomy (R0)
    This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum ... Read more

    $153.99 CAD

  • Bayesian Reasoning and Machine Learning

    by 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 ... Read more

    $91.99 CAD

  • Principles Of Quantum Artificial Intelligence

    by Andreas Miroslaus Wichert ...
    In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation — Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum ... Read more

    $42.99 CAD

  • Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

    by Vladimir G Ivancevic, Darryn J Reid, Michael J Pilling ...
    Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world ... Read more

    $129.99 CAD

  • Monte-Carlo Methods and Stochastic Processes

    From Linear to Non-Linear

    by 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 ... Read more

    $100.99 CAD

  • Parameter Estimation and Inverse Problems

    by Richard C. Aster, Brian Borchers, Clifford H. Thurber ...
    Parameter Estimation and Inverse Problems, Second Edition provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book takes on these fundamental and challenging problems, introducing students and professionals to the ... Read more

    $70.39 CAD