Support Vector Machines and Perceptrons is popular PDF and ePub book, written by M.N. Murty in 2016-08-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Support Vector Machines and Perceptrons can be Read Online from any device for your convenience.
Support Vector Machines and Perceptrons Book PDF Summary
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.>
Detail Book of Support Vector Machines and Perceptrons PDF
- Author : M.N. Murty
- Release : 16 August 2016
- Publisher : Springer
- ISBN : 9783319410630
- Genre : Computers
- Total Page : 103 pages
- Language : English
- PDF File Size : 8,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Support Vector Machines and Perceptrons by M.N. Murty, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.