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- Isotropic_position abstract "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.".
- Isotropic_position wikiPageID "48987892".
- Isotropic_position wikiPageLength "1455".
- Isotropic_position wikiPageOutDegree "12".
- Isotropic_position wikiPageRevisionID "697999731".
- Isotropic_position wikiPageWikiLink Category:Machine_learning.
- Isotropic_position wikiPageWikiLink Category:Random_matrices.
- Isotropic_position wikiPageWikiLink Convex_body.
- Isotropic_position wikiPageWikiLink Covariance_matrix.
- Isotropic_position wikiPageWikiLink Identity_matrix.
- Isotropic_position wikiPageWikiLink Journal_of_Functional_Analysis.
- Isotropic_position wikiPageWikiLink Machine_learning.
- Isotropic_position wikiPageWikiLink Orthonormality.
- Isotropic_position wikiPageWikiLink Random_matrix.
- Isotropic_position wikiPageWikiLink Theory_of_computation.
- Isotropic_position wikiPageWikiLink Uniform_distribution.
- Isotropic_position wikiPageWikiLink Whitening_transformation.
- Isotropic_position wikiPageWikiLinkText "Isotropic position".
- Isotropic_position wikiPageUsesTemplate Template:Cite_journal.
- Isotropic_position subject Category:Machine_learning.
- Isotropic_position subject Category:Random_matrices.
- Isotropic_position comment "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.".
- Isotropic_position label "Isotropic position".
- Isotropic_position wasDerivedFrom Isotropic_position?oldid=697999731.
- Isotropic_position isPrimaryTopicOf Isotropic_position.