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Support Vector Machines: Data Analysis, Machine Learning & Applications
Brandon H. Boyle (Ed.)
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Description for Support Vector Machines: Data Analysis, Machine Learning & Applications
Hardback. Editor(s): Boyle, Brandon H. Num Pages: 213 pages, Illustrations. BIC Classification: UY. Category: (G) General (US: Trade). Dimension: 262 x 186 x 18. Weight in Grams: 574.
This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical imaging; monthly air pollution modeling using support vector machine techniques in Spain; support vector machines for image interpolation schemes in image zooming and color array interpolation; using SVM for the prediction of the ultimate capacity of driven piles in cohesionless soils; SVM in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines.
This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical imaging; monthly air pollution modeling using support vector machine techniques in Spain; support vector machines for image interpolation schemes in image zooming and color array interpolation; using SVM for the prediction of the ultimate capacity of driven piles in cohesionless soils; SVM in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines.
Product Details
Format
Hardback
Publication date
2012
Publisher
Nova Science Publishers Inc United States
Number of pages
213
Condition
New
Number of Pages
213
Place of Publication
New York, United States
ISBN
9781612093420
SKU
V9781612093420
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-2
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