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1-12 sur 12 résultats pour « ali ghodsi »
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  • Elements of Deep Learning

    par Benyamin Ghojogh, Ali Ghodsi ...
    Collections series Artificial Intelligence (R0)
    This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts and classic neural network architectures before progressing through convolutional models, backpropagation, regularization, generalization theory, PAC learning, and Boltzmann machines. Advanced chapters ... En savoir plus

    $140.89 CAD

  • Elements of Dimensionality Reduction and Manifold Learning

    par Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi ...
    Collections series Computer Science (R0)
    Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better representation of data or separation between classes. This book presents a cohesive review of linear and nonlinear dimensionality reduction and manifold learning. Three main aspects of dimensionality reduction are covered: spectral dimensionality ... En savoir plus

    $89.69 CAD

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  • Learning Decision Sequences For Repetitive Processes—Selected Algorithms

    par Wojciech Rafajłowicz ...
    Collections series Intelligent Technologies and Robotics (R0)
    This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology. Original algorithms include model-free learning of short ... En savoir plus

    $166.99 CAD

  • Machine Learning

    A Constraint-Based Approach

    par 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 ... En savoir plus

    $70.99 CAD

  • Pattern Recognition

    par 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 ... En savoir plus

    $95.99 CAD

  • The Science of Deep Learning

    par Iddo Drori ...
    The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning ... En savoir plus

    $61.99 CAD

  • Unsolved Problems in Mathematical Systems and Control Theory

    Modifié par Alexandre Megretski, Vincent D. Blondel ...
    This book provides clear presentations of more than sixty important unsolved problems in mathematical systems and control theory. Each of the problems included here is proposed by a leading expert and set forth in an accessible manner. Covering a wide range of areas, the book will be an ideal reference for anyone interested in the latest developments in the field, including specialists in applied ... En savoir plus

    $120.99 CAD

  • Geometry of Deep Learning

    A Signal Processing Perspective

    par Jong Chul Ye ...
    Collections series Mathematics and Statistics (R0)
    The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined.To support this ... En savoir plus

    $70.49 CAD

  • Matrix Computations

    par Gene H. Golub, Charles F. Van Loan ...
    Collections Livre 3 - Johns Hopkins Studies in the Mathematical Sciences
    A comprehensive treatment of numerical linear algebra from the standpoint of both theory and practice.The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its ... En savoir plus

    $85.99 CAD

  • Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

    Modifié par Frank L. Lewis, Derong Liu ...
    Collections Livre 17 - IEEE Press Series on Computational Intelligence
    Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, ... En savoir plus

    $191.99 CAD

  • International Symposium on Mathematics, Quantum Theory, and Cryptography

    Proceedings of MQC 2019

    Modifié par Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu ...
    Collections series Springer Nature Proceedings excluding Computer Science
    This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics and quantum theory underlying secure modeling of the post quantum cryptography including e.g. mathematical study of the light-matter interaction models ... En savoir plus

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  • Fundamentals of Computational Intelligence

    Neural Networks, Fuzzy Systems, and Evolutionary Computation

    par James M. Keller, Derong Liu, David B. Fogel ...
    Collections series IEEE Press Series on Computational Intelligence
    Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one anotherThis book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real ... En savoir plus

    $142.99 CAD