Empirical Risk Minimization

Empirical risk minimization (ERM) is a principle in statistical learning theory which defines a family of learning algorithms and is used to give theoretical bounds on the performance of learning algorithms.

Read more about Empirical Risk Minimization:  Background, Empirical Risk Minimization

Famous quotes containing the words empirical and/or risk:

    To develop an empiricist account of science is to depict it as involving a search for truth only about the empirical world, about what is actual and observable.... It must involve throughout a resolute rejection of the demand for an explanation of the regularities in the observable course of nature, by means of truths concerning a reality beyond what is actual and observable, as a demand which plays no role in the scientific enterprise.
    Bas Van Fraassen (b. 1941)

    When a man leaves his mistress, he runs the risk of being betrayed two or three times daily.
    Stendhal [Marie Henri Beyle] (1783–1842)