Matches in DBpedia 2014 for { <http://dbpedia.org/resource/Empirical_risk_minimization> ?p ?o. }
Showing items 1 to 12 of
12
with 100 items per page.
- Empirical_risk_minimization abstract "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.".
- Empirical_risk_minimization wikiPageID "1455062".
- Empirical_risk_minimization wikiPageRevisionID "580594308".
- Empirical_risk_minimization hasPhotoCollection Empirical_risk_minimization.
- Empirical_risk_minimization subject Category:Machine_learning.
- Empirical_risk_minimization comment "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.".
- Empirical_risk_minimization label "Empirical risk minimization".
- Empirical_risk_minimization sameAs m.0b77q5m.
- Empirical_risk_minimization sameAs Q5374254.
- Empirical_risk_minimization sameAs Q5374254.
- Empirical_risk_minimization wasDerivedFrom Empirical_risk_minimization?oldid=580594308.
- Empirical_risk_minimization isPrimaryTopicOf Empirical_risk_minimization.