Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks
Author:   M.N. Murty ,  Rashmi Raghava
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319410623


Pages:   95
Publication Date:   25 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks


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Author:   M.N. Murty ,  Rashmi Raghava
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 0.60cm , Length: 23.50cm
Weight:   1.825kg
ISBN:  

9783319410623


ISBN 10:   3319410628
Pages:   95
Publication Date:   25 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction Linear Discriminant Function Perceptron Linear Support Vector Machines Kernel Based SVM Application to Social Networks Conclusion

Reviews

“The book deals primarily with classification, focused on linear classifiers. … It is intended to senior undergraduate and graduate students and researchers working in machine learning, data mining and pattern recognition.” (Smaranda Belciug, zbMATH 1365.68003, 2017) 


The book deals primarily with classification, focused on linear classifiers. ... It is intended to senior undergraduate and graduate students and researchers working in machine learning, data mining and pattern recognition. (Smaranda Belciug, zbMATH 1365.68003, 2017)


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