Structural risk minimization (SRM): Revision history

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21 March 2023

  • curprev 22:2722:27, 21 March 2023‎ Walle talk contribs‎ 3,576 bytes +3,576‎ 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..."
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