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Regression least squares loss function

In more formal terms, regression looks for an approximation of the responses given the predictors, X, which fits the data best according to some predetermined criterion, usually a least squares loss function ... [Pg.146]

A linear regression of the strengths listed in Table I and shown in Figure 3 gives the least-squares equation for the loss in strength as a function of heating time... [Pg.426]

See other pages where Regression least squares loss function is mentioned: [Pg.19]    [Pg.171]    [Pg.265]    [Pg.112]    [Pg.134]    [Pg.387]    [Pg.1123]    [Pg.314]   
See also in sourсe #XX -- [ Pg.131 ]



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