國立虎尾科技大學 |

The Art and Science of Machine Intelligence = With An Innovative Application for Alzheimer’s Detection from Speech /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Art and Science of Machine Intelligence/ by Walker H. Land Jr., J. David Schaffer.
其他題名:	With An Innovative Application for Alzheimer’s Detection from Speech /
作者:	Land Jr., Walker H.
其他作者:	Schaffer, J. David.
面頁冊數:	XXII, 269 p. 140 illus., 72 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Linguistics. -
電子資源:	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 IntelligenceWith 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:

670080
Computational Linguistics.

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 /
LDR:02895nam a22003975i 4500 001 1020558
003 DE-He213
005 20200702105404.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030184964 $9 978-3-030-18496-4
024 7 $a 10.1007/978-3-030-18496-4 $2 doi
035 $a 978-3-030-18496-4
050 4 $a TK1-9971
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Land Jr., Walker H. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316052
245 1 4 $a The Art and Science of Machine Intelligence $h [electronic resource] : $b With An Innovative Application for Alzheimer’s Detection from Speech / $c by Walker H. Land Jr., J. David Schaffer.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XXII, 269 p. 140 illus., 72 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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.
520 $a 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 .
650 2 4 $a Computational Linguistics. $3 670080
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Pattern Recognition. $3 669796
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 1 4 $a Communications Engineering, Networks. $3 669809
650 0 $a Computational linguistics. $3 555811
650 0 $a Computational intelligence. $3 568984
650 0 $a Speech processing systems. $3 564428
650 0 $a Image processing. $3 557495
650 0 $a Signal processing. $3 561459
650 0 $a Pattern recognition. $3 1253525
650 0 $a Biomedical engineering. $3 588770
650 0 $a Electrical engineering. $3 596380
700 1 $a Schaffer, J. David. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316053
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030184957
776 0 8 $i Printed edition: $z 9783030184971
776 0 8 $i Printed edition: $z 9783030184988
856 4 0 $u https://doi.org/10.1007/978-3-030-18496-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)