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Training SVMs with parallelized stochastic gradient descent
Training SVMs with parallelized stochastic gradient descent
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机译:通过并行化随机梯度下降训练SVM
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摘要
Techniques for training a non-linear support vector machine utilizing a stochastic gradient descent algorithm are provided. The computations of the stochastic gradient descent algorithm are parallelized via a number of processors. Calculations of the stochastic gradient descent algorithm on a particular processor may be combined according to a packing strategy before communicating the results of the calculations with the other processors.
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