The Art and Science of Machine Intelligence, 1st ed. 2020 With An Innovative Application for Alzheimer's Detection from Speech

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 
  

  
  

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.

Professor Walker Land Jr. performed twenty years of classified military research for IBM, none of which can be discussed here. He retired from IBM in 1990 and joined Binghamton University for 26 years, retiring a second time at the rank of Research Professor in 2014. He is known as one of the prime developers of the GRNN oracle ensemble method for learning classifier systems. He also made contributions to the original TIROS satellite system, the forerunner of the current weather satellite system, as well as made original contributions to the 200 and 500 series Saturn/Apollo lunar flyby and landing programs.

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