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Engineering (R0) eBook Series

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  • Twin Support Vector Machines

    Models, Extensions and Applications

    by Jayadeva, Reshma Khemchandani, Suresh Chandra ...
    Series series Engineering (R0)
    This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning ... Read more

    $115.29 CAD

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  • 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

  • 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

    $110.39 CAD

  • 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

    $145.59 CAD

  • Rough-Fuzzy Pattern Recognition

    Applications in Bioinformatics and Medical Imaging

    by Pradipta Maji, Sankar K. Pal ...
    Series Book 3 - Wiley Series in Bioinformatics
    Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processingEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to ... Read more

    $139.99 CAD

  • Neural Networks and Statistical Learning

    by Ke-Lin Du, M. N. S. Swamy ...
    Series series Engineering (R0)
    Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content.Each of ... Read more

    $128.09 CAD

  • 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

    $109.99 CAD

  • Guide To Temporal Networks, A

    by Naoki Masuda, Renaud Lambiotte ...
    Series Book 4 - Series On Complexity Science
    Network science offers a powerful language to represent and study complex systems composed of interacting elements — from the Internet to social and biological systems. In its standard formulation, this framework relies on the assumption that the underlying topology is static, or changing very slowly as compared to dynamical processes taking place on it, e.g., epidemic spreading or navigation. ... Read more

    $42.89 CAD

  • Fuzzy Neural Networks for Real Time Control Applications

    Concepts, Modeling and Algorithms for Fast Learning

    by Erdal Kayacan, Mojtaba Ahmadieh Khanesar ...
    AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its ... Read more

    $87.99 CAD

  • Object Detection and Recognition in Digital Images

    Theory and Practice

    by Boguslaw Cyganek ...
    Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields.Key features:Explains the main ... Read more

    $153.99 CAD

  • Kernel-based Approximation Methods Using Matlab

    by Gregory E Fasshauer, Michael J Mccourt ...
    Series Book 19 - Interdisciplinary Mathematical Sciences
    In an attempt to introduce application scientists and graduate students to the exciting topic of positive definite kernels and radial basis functions, this book presents modern theoretical results on kernel-based approximation methods and demonstrates their implementation in various settings. The authors explore the historical context of this fascinating topic and explain recent advances as ... Read more

    $37.39 CAD

  • Advanced Markov Chain Monte Carlo Methods

    Learning from Past Samples

    by Faming Liang, Chuanhai Liu, Raymond Carroll ...
    Series Book 714 - Wiley Series in Computational Statistics
    Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past sample information during simulations. The application examples are drawn from diverse fields such as bioinformatics, machine learning, social science, combinatorial optimization, and computational ... Read more

    $145.99 CAD