Structural risk minimization
id:
structural-risk-minimization-251-3413136
title:
Structural risk minimization
text:
Structural risk minimization (SRM) is an inductive principle of use in machine learning. Commonly in machine learning, a generalized model must be selected from a finite data set, with the consequent problem of overfitting – the model becoming too strongly tailored to the particularities of the training set and generalizing poorly to new data. The SRM principle addresses this problem by balancing the model's complexity against its success at fitting the training data. This principle was first se
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Structural_risk_minimization
date created:
date modified:
2024-01-23T04:26:41Z
main entity:
{"identifier":"Q7625053","url":"https://www.wikidata.org/entity/Q7625053"}
image:
fields total:
13
integrity:
13