Stability of the Stochastic Gradient Method for an Approximated Large Scale Kernel Machine

21 Apr 2018 Aven Samareh Mahshid Salemi Parizi

In this paper we measured the stability of stochastic gradient method (SGM) for learning an approximated Fourier primal support vector machine. The stability of an algorithm is considered by measuring the generalization error in terms of the absolute difference between the test and the training error... (read more)

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