Information for "Isotropic position"

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Display titleIsotropic position
Default sort keyIsotropic position
Page length (in bytes)1,929
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Page ID182953
Page content languageen - English
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Page creatorimported>Wikisleeper
Date of page creation17:37, 6 February 2024
Latest editorimported>Wikisleeper
Date of latest edit17:37, 6 February 2024
Total number of edits1
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In the fields of machine learning, the theory of computation, and random matrix theory, a probability distribution over vectors is said to be in isotropic position if its covariance matrix is equal to the identity matrix.
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