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The Art and Science of Machine Intelligence

With An Innovative Application for Alzheimer’s Detection from Speech

  • Walker H. Land Jr.
  • J. David Schaffer
Book

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Walker H. Land Jr., J. David Schaffer
    Pages 1-44
  3. Walker H. Land Jr., J. David Schaffer
    Pages 45-76
  4. Walker H. Land Jr., J. David Schaffer
    Pages 77-105
  5. Walker H. Land Jr., J. David Schaffer
    Pages 107-135
  6. Walker H. Land Jr., J. David Schaffer
    Pages 137-155
  7. Walker H. Land Jr., J. David Schaffer
    Pages 157-185
  8. Walker H. Land Jr., J. David Schaffer
    Pages 187-210
  9. Walker H. Land Jr., J. David Schaffer
    Pages 211-248
  10. Walker H. Land Jr., J. David Schaffer
    Pages 249-262
  11. Back Matter
    Pages 263-269

About this book

Introduction

This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book’s goal is to allow readers to select one or more of these methods to quickly apply to their own tasks.

  • Includes a variety of machine intelligent technologies and illustrates how they can work together

  • Shows evolutionary feature subset selection combined with support vector machines and multiple classifiers combined

  • Includes a running case study on intelligent processing relating to Alzheimer’s / dementia detection, in addition to several applications of the machine hybrid algorithms 

Keywords

Artificial intelligence Machine learning Evolutionary computation Genetic algorithms Feature subset selection Support vector machine Learning classifier systems Ensemble methods Generalized regression neural network (GRNN) oracle Bayesian networks

Authors and affiliations

  • Walker H. Land Jr.
    • 1
  • J. David Schaffer
    • 2
  1. 1.Binghamton UniversityBowieUSA
  2. 2.Binghamton UniversityBinghamtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-18496-4
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-18495-7
  • Online ISBN 978-3-030-18496-4
  • Buy this book on publisher's site
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