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Support Vector Machines and Perceptrons - 9783319410623
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Item specifics
- Condition
- Book Title
- Support Vector Machines and Perceptrons
- ISBN
- 9783319410623
- Publication Name
- Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
- Publisher
- Springer International Publishing A&G
- Subject
- Computer Science
- Publication Year
- 2016
- Series
- Springerbriefs in Computer Science
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Item Height
- 235 mm
- Item Weight
- 1825 g
- Item Width
- 155 mm
- Number of Pages
- 95 Pages
About this product
Product Information
This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification. SVMs are associated with maximizing the margin between two classes. The concerned optimization problem is a convex optimization guaranteeing a globally optimal solution. The weight vector associated with SVM is obtained by a linear combination of some of the boundary and noisy vectors. Further, when the data are not linearly separable, tuning the coefficient of the regularization term becomes crucial. Even though SVMs have popularized the kernel trick, in most of the practical applications that are high-dimensional, linear SVMs are popularly used. The text examines applications to social and information networks. The work also discusses another popular linear classifier, the perceptron, and compares its performance with that of the SVM in different application areas.>
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-13
9783319410623
eBay Product ID (ePID)
223771740
Product Key Features
Number of Pages
95 Pages
Language
English
Publication Name
Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
Publication Year
2016
Subject
Computer Science
Type
Textbook
Series
Springerbriefs in Computer Science
Format
Paperback
Dimensions
Item Height
235 mm
Item Weight
1825 g
Item Width
155 mm
Additional Product Features
Country/Region of Manufacture
Switzerland
Item description from the seller
Seller business information
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