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      • [PDF] Reinforcement and Systemic Machine Learning for Decision Making Free Download by Parag Kulkarni | Publisher : Wiley-IEEE Press | Category : Science | Tags : Machine Learning, Systems, Engineering, Information, Fundamentals, Integration | ISBN-10 : 047091999X | ISBN-13 : 9780470919996
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      • Reinforcement and Systemic Machine Learning for Decision Making by Parag Kulkarni, Publisher : Wiley-IEEE Press
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      • Reinforcement and Systemic Machine Learning for Decision Making (IEEE Press Series on Systems Science and Engineering)
        Reinforcement and Systemic Machine Learning for Decision Making

        There are always difficulties in making machines that learn from experience. Complete information is not always available or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm creating new learning applications and, ultimately, more intelligent machines.

        The first book of its kind in this new and growing field, Reinforcement and Systemic Machine Learning for Decision Making focuses on the specialized research area of machine learning and systemic machine learning. It addresses reinforcement learning and its applications, incremental machine learning, repetitive failure-correction mechanisms, and multiperspective decision making.

        Chapters include:

        • Introduction to Reinforcement and Systemic Machine Learning
        • Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning
        • Systemic Machine Learning and Model
        • Inference and Information Integration
        • Adaptive Learning
        • Incremental Learning and Knowledge Representation
        • Knowledge Augmentation: A Machine Learning Perspective
        • Building a Learning System With the potential of this paradigm to become one of the more utilized in its field, professionals in the area of machine and systemic learning will find this book to be a valuable resource.

        Table of Contents

        1 Introduction to Reinforcement and Systemic Machine Learning 1
        2 Fundamentals of Whole-System, Systemic, and Multiperspective Machine Learning 23
        3 Reinforcement Learning 57
        4 Systemic Machine Learning and Model 77
        5 Inference and Information Integration 99
        6 Adaptive Learning 119
        7 Multiperspective and Whole-System Learning 151
        8 Incremental Learning and Knowledge Representation 177
        9 Knowledge Augmentation: A Machine Learning Perspective 209
        10 Building a Learning System 237
        Appendix A: Statistical Learning Methods 261
        Appendix B: Markov Processes 271

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    • Book Details
      • Book Name : Reinforcement and Systemic Machine Learning for Decision Making

        Edition : 1

        Author : Parag Kulkarni

        Publisher : Wiley-IEEE Press

        Category : Science

        ISBN-10 : 047091999X

        ISBN-13 : 9780470919996

        ASIN : 047091999X

        Pages : 312

        Language : English

        Publish Date : August 14, 2012
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