The Art and Science of Machine Intelligence : With An Innovative Application for Alzheimer’s Detection from Speech / / by Walker H. Land Jr., J. David Schaffer

• Autore: Land Jr Walker H
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XXII, 269 p. 140 illus., 72 illus. in color.)
• Disciplina: 621.382
• Soggetto topico: Electrical engineering; Biomedical engineering; Pattern recognition; Signal processing; Image processing; Speech processing systems; Computational intelligence; Computational linguistics; Communications Engineering, Networks; Biomedical Engineering and Bioengineering; Pattern Recognition; Signal, Image and Speech Processing; Computational Intelligence; Computational Linguistics
• Persona (resp. second.): SchafferJ. David
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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 .
• Titolo autorizzato: The Art and Science of Machine Intelligence
• ISBN: 3-030-18496-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910366584503321
• Lo trovi qui: Univ. Federico II