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Showing 1 - 12 of 12 results for “michael c mozer”
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  • Proceedings of the 1993 Connectionist Models Summer School

    Edited by Michael C. Mozer, Paul Smolensky, David S. Touretzky, Jeffrey L. Elman, Andreas S. Weigend ...
    The result of the 1993 Connectionist Models Summer School, the papers in this volume exemplify the tremendous breadth and depth of research underway in the field of neural networks. Although the slant of the summer school has always leaned toward cognitive science and artificial intelligence, the diverse scientific backgrounds and research interests of accepted students and invited faculty reflect ... Read more

    $73.99 USD

  • Mathematical Perspectives on Neural Networks

    Edited by Paul Smolensky, Michael C. Mozer ...
    Series series Developments in Connectionist Theory Series
    Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary ... Read more

    $79.99 USD

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  • Data Analysis

    Edited by Gérard Govaert ...
    The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in ... Read more

    $158.00 USD

  • Backpropagation

    Theory, Architectures, and Applications

    Edited by Yves Chauvin, David E. Rumelhart ...
    Series series Developments in Connectionist Theory Series
    Composed of three sections, this book presents the most popular training algorithm for neural networks: backpropagation. The first section presents the theory and principles behind backpropagation as seen from different perspectives such as statistics, machine learning, and dynamical systems. The second presents a number of network architectures that may be designed to match the general concepts ... Read more

    $140.00 USD

  • 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

    $96.29 USD

  • System Identification

    Theory for the User

    by Lennart Ljung ...
    The field's leading text, now completely updated.Modeling dynamical systems — theory, methodology, and applications.Lennart Ljung's System Identification: Theory for the User is a complete, coherent description of the theory, methodology, and practice of System Identification. This completely revised Second Edition introduces subspace methods, methods that utilize frequency domain data, and ... Read more

    $134.99 USD

  • Active Inference

    The Free Energy Principle in Mind, Brain, and Behavior

    by Thomas Parr, Giovanni Pezzulo, Karl J. Friston ...
    The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines.Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, ... Read more

    $25.99 USD

  • Methods of Multivariate Analysis

    by Alvin C. Rencher, William F. Christensen ...
    Series Book 709 - Wiley Series in Probability and Statistics
    Praise for the Second Edition"This book is a systematic, well-written, well-organized text on multivariate analysis packed with intuition and insight . . . There is much practical wisdom in this book that is hard to find elsewhere."-IIE TransactionsFilled with new and timely content, Methods of Multivariate Analysis, Third Edition provides examples and exercises based on more than sixty real data ... Read more

    $122.00 USD

  • Introduction to Machine Learning, fourth edition

    by Ethem Alpaydin ...
    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Read more

    $52.99 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

  • Cognitive Science

    An Introduction to the Science of the Mind

    by José Luis Bermúdez ...
    The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically ... Read more

    $49.19 USD

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    by Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Read more

    $27.99 USD