|
|
|
|
| LEADER |
02956nmm a2200397 u 4500 |
| 001 |
EB001869942 |
| 003 |
EBX01000000000000001033316 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
190716 ||| eng |
| 020 |
|
|
|a 9783030184964
|
| 100 |
1 |
|
|a Land Jr., Walker H.
|
| 245 |
0 |
0 |
|a The Art and Science of Machine Intelligence
|h Elektronische Ressource
|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
|
| 260 |
|
|
|a Cham
|b Springer International Publishing
|c 2020, 2020
|
| 300 |
|
|
|a XXII, 269 p. 140 illus., 72 illus. in color
|b online resource
|
| 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
|
| 653 |
|
|
|a Computational Linguistics
|
| 653 |
|
|
|a Biomedical engineering
|
| 653 |
|
|
|a Computational intelligence
|
| 653 |
|
|
|a Computational Intelligence
|
| 653 |
|
|
|a Biomedical Engineering and Bioengineering
|
| 653 |
|
|
|a Computational linguistics
|
| 653 |
|
|
|a Signal, Speech and Image Processing
|
| 653 |
|
|
|a Telecommunication
|
| 653 |
|
|
|a Communications Engineering, Networks
|
| 653 |
|
|
|a Signal processing
|
| 653 |
|
|
|a Automated Pattern Recognition
|
| 653 |
|
|
|a Pattern recognition systems
|
| 700 |
1 |
|
|a Schaffer, J. David
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-3-030-18496-4
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-18496-4?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 621.382
|
| 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
|