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来自「人工神经网络的源码编程」· 代码 · 共 59 行

Directory

  ../RidgeRegression

Contents

  globalRidge.m

    Calculates the best global ridge regression parameter using
    one of a number of model selection criteria from an initial
    guess.

  globalRidgeExample.m

    Runs the example described in the section of the manual on
    globalRidge.m.

  globalRidgeExample.mat

    Saved data set to facilitate exact reproduction of the
    results from globalRidgeExample.m.

  localRidge.m

    Calculates the best local ridge regression parameters using
    one of a number of model selection criteria from an initial
    guess. Uses an undocumented subroutine called localRidgeJ.m.

  localRidgeJ.m

    Undocumented subroutine used by localRidge.m.

  localRidgeExample.m

    Runs the example described in the section of the manual on
    localRidge.m.

  localRidgeExample.mat

    Saved data set to facilitate exact reproduction of the
    results from localRidgeExample.m.

  predictError.m

    Calculates the predicted error on a future test set for a linear
    network given the design matrix and the training set outputs.
    Can use local or global ridge regression and a number of alternative
    prediction methods.

  predictErrorExample.m

    Runs the example described in the section of the manual on
    predictError.m.

  predictErrorExample.mat

    Saved data set to facilitate exact reproduction of the
    results from predictErrorExample.m.