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The support vector machine is a highly accurate classification method. However, SVM classifiers suffer from slow processing when training with a large set of data tuples. Discuss how to overcome this difficulty and develop a scalable SVM algorithm for efficient SVM classification in large data sets.

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Computer Engineering, Engineering

Category:- Computer Engineering
Reference No.:- M91977604

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