Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical learning theory concept
|
| gptkbp:abbreviation |
gptkb:ERM
|
| gptkbp:appliesTo |
gptkb:dictionary
regression supervised learning |
| gptkbp:basisFor |
logistic regression
support vector machines |
| gptkbp:contrastsWith |
structural risk minimization
|
| gptkbp:describedBy |
gptkb:Statistical_Learning_Theory_(book)
|
| gptkbp:form |
minimize sum of losses over training set
|
| gptkbp:goal |
minimize average loss on training data
|
| https://www.w3.org/2000/01/rdf-schema#label |
empirical risk minimization
|
| gptkbp:limitation |
may lead to overfitting
|
| gptkbp:proposedBy |
gptkb:Alexey_Chervonenkis
gptkb:Vladimir_Vapnik |
| gptkbp:relatedTo |
loss function
overfitting structural risk minimization generalization error |
| gptkbp:usedIn |
gptkb:machine_learning
statistics |
| gptkbp:bfsParent |
gptkb:Theory_of_Machine_Learning
|
| gptkbp:bfsLayer |
4
|