Random Features for Large-Scale Kernel Machines

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that combining these randomized maps with simple linear learning algorithms competes favorably with state-of-the-art training algorithms in a variety of regression and classification scenarios. 2 Related Work The most popular methods for large-scale kernel machines are decomposition methods for solving Support Vector Machines (SVM).

  Feature, Linear, Machine, Learning, Support, Vector, Support vector machine, Linear learning