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Showing 1 - 12 of 12 results for “anthony michel”
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  • Qualitative Analysis and Synthesis of Recurrent Neural Networks

    by Anthony Michel, Derong Liu ...
    Series series Chapman & Hall/CRC Pure and Applied Mathematics
    "Analyzes the behavior, design, and implementation of artificial recurrent neural networks. Offers methods of synthesis for associative memories. Evaluates the qualitative properties and limitations of neural networks. Contains practical applications for optimal system performance." ... Read more

    $450.00 USD

  • Qualitative Theory of Dynamical Systems

    by Anthony Michel, Anthony Wang, Bo Hu, Zuhair Nashed, Earl Taft ...
    "Illuminates the most important results of the Lyapunov and Lagrange stability theory for a general class of dynamical systems by developing topics in a metric space independantly of equations, inequalities, or inclusions. Applies the general theory to specific classes of equations. Presents new and expanded material on the stability analysis of hybrid dynamical systems and dynamical systems with ... Read more

    $480.00 USD

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  • 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

    $71.09 USD

  • Linear Algebra Study Guide (Mobi Study Guides)

    by MobileReference ...
    Boost Your grades with this illustrated Study Guide. You will use it from college all the way to graduate school and beyond.FEATURES:- Clear and concise explanations - Difficult concepts are explained in simple terms - Illustrated with graphs and diagrams TABLE OF CONTENTS:I. Linear equations System of linear equations Determinant Minor Cauchy-Binet formula Cramer's rule Gaussian elimination Gauss ... Read more

    $8.69 USD or Free with Kobo Plus

  • Deep Learning For Physics Research

    by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Read more

    $35.99 USD

  • Linear Algebra Demystified

    by David McMahon ...
    Series series Demystified
    Taught at junior level math courses at every university, Linear Algebra is essential for students in almost every technical and analytic discipline. ... Read more

    $16.59 USD

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Edited by 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 ... Read more

    $148.49 USD

  • 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

    $65.69 USD

  • Multiple View Geometry in Computer Vision

    by Richard Hartley, Andrew Zisserman ...
    A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and ... Read more

    $108.29 USD

  • 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

    $116.09 USD

  • Linear Algebra: Pure & Applied

    by Edgar Goodaire ...
    This is a matrix-oriented approach to linear algebra that covers the traditional material of the courses generally known as “Linear Algebra I” and “Linear Algebra II” throughout North America, but it also includes more advanced topics such as the pseudoinverse and the singular value decomposition that make it appropriate for a more advanced course as well. As is becoming increasingly the norm, the ... Read more

    $52.19 USD

  • Neural-Based Orthogonal Data Fitting

    The EXIN Neural Networks

    by Giansalvo Cirrincione, Maurizio Cirrincione ...
    Series Book 66 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
    The presentation of a novel theory in orthogonal regressionThe literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem.The book ... Read more

    $91.99 USD