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Engineering (R0) eBook Series

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  • Modern Algorithms of Cluster Analysis

    by Mieczyslaw Kłopotek, Slawomir Wierzchoń ...
    Series series Engineering (R0)
    This book provides the reader with a basic understanding of the formal concepts of the cluster, clustering, partition, cluster analysis etc.The book explains feature-based, graph-based and spectral clustering methods and discusses their formal similarities and differences. Understanding the related formal concepts is particularly vital in the epoch of Big Data; due to the volume and ... Read more

    PHP10,979.59

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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

    PHP5,808.29

  • Matrix Computations

    by Gene H. Golub, Charles F. Van Loan ...
    Series Book 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 ... Read more

    PHP3,719.59

  • Fundamentals of Massive MIMO

    by Thomas L. Marzetta, Erik G. Larsson, Hong Yang, Hien Quoc Ngo ...
    Written by pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statistical signal processing, it will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance ... Read more

    PHP4,751.19

  • Kernel Methods for Pattern Analysis

    by John Shawe-Taylor, Nello Cristianini ...
    Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed ... Read more

    PHP5,986.49

  • MIMO Wireless Networks

    Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems

    by Bruno Clerckx, Claude Oestges ...
    This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time signal processing, the book progressively derives ... Read more

    PHP5,359.99

  • Machine Learning in Complex Networks

    by Thiago Christiano Silva, Liang Zhao ...
    Series series Computer Science (R0)
    This book presents the features and advantages offered by complex networks in the machine learning domain. In the first part, an overview on complex networks and network-based machine learning is presented, offering necessary background material. In the second part, we describe in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised ... Read more

    PHP6,142.49

  • 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

    PHP1,754.59

  • Computation, Cryptography, and Network Security

    Edited by Nicholas J. Daras, Michael Th. Rassias ...
    Series series Mathematics and Statistics (R0)
    Analysis, assessment, and data management are core competencies for operation research analysts. This volume addresses a number of issues and developed methods for improving those skills. It is an outgrowth of a conference held in April 2013 at the Hellenic Military Academy, and brings together a broad variety of mathematical methods and theories with several applications. It discusses directions ... Read more

    PHP5,528.19

  • An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

    by Nello Cristianini, John Shawe-Taylor ...
    This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-world applications such as text categorisation, hand-written character recognition, image classification, biosequences analysis, etc., and are now established as one of the standard ... Read more

    PHP5,558.89

  • Computation in Science

    by Konrad Hinsen ...
    Series series IOP Concise Physics
    Computation in Science provides a theoretical background in computation to scientists who use computational methods. It explains how computing is used in the natural sciences, and provides a high-level overview of those aspects of computer science and software engineering that are most relevant for computational science. The focus is on concepts, results, and applications, rather than on proofs ... Read more

    PHP1,334.99

  • 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

    PHP1,529.59