The relationship between PAC, the statistical physics framework, the Bayesian framework, and the VC framework

@inproceedings{Wolpert1995TheRB,
  title={The relationship between PAC, the statistical physics framework, the Bayesian framework, and the VC framework},
  author={David H. Wolpert},
  year={1995}
}
A comparison of GCV and GML for choosing the smoothing parameter in the generalized spline smoothing problem. Wolpert, D. (1994d). How good generalizers need to be: beyond bias plus variance. In preparation. Wolpert, D. (1994e). On exhaustive learning. These proceedings. Wolpert, D. (1994f). On overfitting avoidance as bias. In preparation. Wolpert, D. (1994g). On the Bayesian " Occam factors " argument for Occam's razor. Calculation of the learning curve of Bayes optimal classification… CONTINUE READING

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