Sparsity: Revision history

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21 March 2023

  • curprev 22:2622:26, 21 March 2023‎ Walle talk contribs‎ 2,968 bytes +2,968‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Sparsity, in the context of machine learning, refers to the phenomenon where only a small number of features or parameters have significant non-zero values in a model or dataset. This characteristic can be exploited to improve the efficiency and interpretability of machine learning models. The concept of sparsity has been applied in various areas, including feature selection, regularization, and sparse representati..."
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