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  • Support Vector Machines Applications

    Editör: Yunqian Ma, Guodong Guo ...
    Diziler series Engineering (R0)
    Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence. The aim of this book is to create a comprehensive source on support vector ... Daha fazla okuyun

    TL9.175,31

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  • MATLAB for Neuroscientists

    An Introduction to Scientific Computing in MATLAB

    MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and ... Daha fazla okuyun

    TL3.943,31

  • An Introduction to Machine Learning

    ile Miroslav Kubat ...
    Diziler series Computer Science (R0)
    This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later ... Daha fazla okuyun

    TL2.788,07

  • Computational Intelligence

    Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

    Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy ... Daha fazla okuyun

    TL5.717,15

  • Data Processing for the AHP/ANP

    Diziler series Business and Management (R0)
    The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank ... Daha fazla okuyun

    TL2.788,07

  • Fundamentals of Computational Intelligence

    Neural Networks, Fuzzy Systems, and Evolutionary Computation

    Diziler 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 ... Daha fazla okuyun

    TL5.035,43

  • Simulation-Based Algorithms for Markov Decision Processes

    Diziler series Engineering (R0)
    Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Daha fazla okuyun

    TL5.018,87

  • Computer Analysis of Human Behavior

    Diziler series Computer Science (R0)
    This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in ... Daha fazla okuyun

    TL2.788,07

  • A User’s Guide to Network Analysis in R

    ile Douglas Luke ...
    Diziler series Use R!
    Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data ... Daha fazla okuyun

    TL4.182,35

  • Deep Learning with Hadoop

    Distributed Deep Learning with Large-Scale Data

    ile Dipayan Dev ...
    Build, implement and scale distributed deep learning models for large-scale datasets Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parallelize deep learning models on Hadoop’s YARN frameworkA comprehensive tutorial to distributed deep learning with HadoopBook DescriptionThis book will teach you how to deploy large-scale dataset in deep ... Daha fazla okuyun

    TL1.798,55

  • Models, Algorithms, and Technologies for Network Analysis

    Proceedings of the Second International Conference on Network Analysis

    Diziler series Springer Nature Proceedings excluding Computer Science
    This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.This volume contains many new results in modeling and powerful algorithmic solutions applied to problems ... Daha fazla okuyun

    TL5.018,87

  • Continuous Authentication Using Biometrics: Data, Models, and Metrics

    User authentication is the process of verifying whether the identity of a user is genuine prior to granting him or her access to resources or services in a secured environment. Traditionally, user authentication is performed statically at the point of entry of the system; however, continuous authentication (CA) seeks to address the shortcomings of this method by providing increased session ... Daha fazla okuyun

    TL8.758,43

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