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The art and science of machine intel...
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Land, Walker H.
The art and science of machine intelligencewith an innovative application for Alzheimer's detection from speech /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The art and science of machine intelligenceby Walker H. Land Jr., J. David Schaffer.
Reminder of title:
with an innovative application for Alzheimer's detection from speech /
Author:
Land, Walker H.
other author:
Schaffer, J. David.
Published:
Cham :Springer International Publishing :2020.
Description:
xxii, 269 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Artificial intelligenceMedical applications.
Online resource:
https://doi.org/10.1007/978-3-030-18496-4
ISBN:
9783030184964$q(electronic bk.)
The art and science of machine intelligencewith an innovative application for Alzheimer's detection from speech /
Land, Walker H.
The art and science of machine intelligence
with an innovative application for Alzheimer's detection from speech /[electronic resource] :by Walker H. Land Jr., J. David Schaffer. - Cham :Springer International Publishing :2020. - xxii, 269 p. :ill. (some col.), digital ;24 cm.
Introduction -- Background for Genetic Algorithms -- Support Vector Machines (SVMs) -- The Generalized Regression Neural Network (GRNN) Oracle -- Alzheimer's Disease (AD) Background -- Genetic Algorithm (GA)-SVM Paradigm -- GA-SVM Paradigm Applied to Detecting AD from Speech -- Classical Bayesian Networks (BN) MI Developed Bayesian Networks -- Generalization of MI methods -- Selected research studies -- Conclusion.
This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book's goal is to allow readers to select one or more of these methods to quickly apply to their own tasks. Includes a variety of machine intelligent technologies and illustrates how they can work together Shows evolutionary feature subset selection combined with support vector machines and multiple classifiers combined Includes a running case study on intelligent processing relating to Alzheimer's / dementia detection, in addition to several applications of the machine hybrid algorithms.
ISBN: 9783030184964$q(electronic bk.)
Standard No.: 10.1007/978-3-030-18496-4doiSubjects--Topical Terms:
237917
Artificial intelligence
--Medical applications.
LC Class. No.: R859.7.A78
Dewey Class. No.: 610.28563
The art and science of machine intelligencewith 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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EB R859.7.A78 L253 2020 2020
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https://doi.org/10.1007/978-3-030-18496-4
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