An Empirical Study on The Properties of Random Bases for Kernel Methods

NeurIPS 2017 Maximilian AlberPieter-Jan KindermansKristof SchüttKlaus-Robert MüllerFei Sha

Kernel machines as well as neural networks possess universal function approximation properties. Nevertheless in practice their ways of choosing the appropriate function class differ... (read more)

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