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The Art and Science of Machine Intel...
~
Land Jr., Walker H.
The Art and Science of Machine Intelligence = With An Innovative Application for Alzheimer’s Detection from Speech /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The Art and Science of Machine Intelligence/ by Walker H. Land Jr., J. David Schaffer.
Reminder of title:
With An Innovative Application for Alzheimer’s Detection from Speech /
Author:
Land Jr., Walker H.
other author:
Schaffer, J. David.
Description:
XXII, 269 p. 140 illus., 72 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Electrical engineering. -
Online resource:
https://doi.org/10.1007/978-3-030-18496-4
ISBN:
9783030184964
The Art and Science of Machine Intelligence = With An Innovative Application for Alzheimer’s Detection from Speech /
Land Jr., Walker H.
The Art and Science of Machine Intelligence
With An Innovative Application for Alzheimer’s Detection from Speech /[electronic resource] :by Walker H. Land Jr., J. David Schaffer. - 1st ed. 2020. - XXII, 269 p. 140 illus., 72 illus. in color.online resource.
Introduction -- Background for Genetic Algorithms -- Support Vector Machines (SVMs) -- The Generalized Regression Neural Network (GRNN) Oracle -- Alzheimer’s Disease (AD) Background -- Genetic Algorithm (GA)-SVM Paradigm -- GA-SVM Paradigm Applied to Detecting AD from Speech -- Classical Bayesian Networks (BN) MI Developed Bayesian Networks -- Generalization of MI methods -- Selected research studies -- Conclusion.
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 .
ISBN: 9783030184964
Standard No.: 10.1007/978-3-030-18496-4doiSubjects--Topical Terms:
596380
Electrical engineering.
LC Class. No.: TK1-9971
Dewey Class. No.: 621.382
The Art and Science of Machine Intelligence = With An Innovative Application for Alzheimer’s Detection from Speech /
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Introduction -- Background for Genetic Algorithms -- Support Vector Machines (SVMs) -- The Generalized Regression Neural Network (GRNN) Oracle -- Alzheimer’s Disease (AD) Background -- Genetic Algorithm (GA)-SVM Paradigm -- GA-SVM Paradigm Applied to Detecting AD from Speech -- Classical Bayesian Networks (BN) MI Developed Bayesian Networks -- Generalization of MI methods -- Selected research studies -- Conclusion.
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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 .
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