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• 22:27, 21 March 2023 Walle talk contribs created page Structural risk minimization (SRM) (Created page with "{{see also|Machine learning terms}} ==Introduction== Structural Risk Minimization (SRM) is a fundamental concept in the field of machine learning and statistical learning theory, introduced by Vladimir Vapnik and Alexey Chervonenkis. It serves as a regularization principle that aims to minimize the risk of overfitting in a model by finding an optimal balance between the model's complexity and its ability to generalize to unseen data. In essence, SRM strives to st...")