Generalization Error and the Expected Network Complexity

Ji, Chuanyi

Neural Information Processing Systems 

E represents the expectation on random number K of hidden units (1:::; I\:::; n). This relationship makes it possible to characterize explicitly how a regularization term affects bias/variance of networks.

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