Tensor machines for learning target-specific polynomial features.

CoRR, 2015.

被引用8|浏览11
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Recent years have demonstrated that using random feature maps can significantly decrease the training and testing times of kernel-based algorithms without significantly lowering their accuracy. Regrettably, because random features are target-agnostic, typically thousands of such features are necessary to achieve acceptable accuracies. I...更多

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