Publisher correction: dimensionality reduction to maximize prediction generalization capability

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Publisher correction: dimensionality reduction to maximize prediction generalization capability"


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Correction to: _Nature Machine Intelligence_ https://doi.org/10.1038/s42256-021-00306-1, published online 12 April 2021. In the version of this Article originally published, in the caption


of Fig. 2 the expression \(\left| {\theta - \theta } \right|_{\mathrm{F}}^2/{\mathrm{max}}\left( {\left| \theta \right|_{\mathrm{F}}^2,\left| \theta \right|_{\mathrm{F}}^2} \right)\) was


incorrect; it should have been \(\left| {{\mathbf{\uptheta }} - \theta } \right|_{\mathrm{F}}^2/{\mathrm{max}}\left( {\left| \theta \right|_{\mathrm{F}}^2,\left| {\mathbf{\uptheta }}


\right|_{\mathrm{F}}^2} \right)\). In addition, a number of Greek letters were missing or incorrectly formatted in the PDF version of the Article, while the HTML version was correct. This


has been corrected. AUTHOR INFORMATION AUTHORS AND AFFILIATIONS * Laboratory for Neural Computation and Adaptation, RIKEN Center for Brain Science, Wako, Japan Takuya Isomura & Taro


Toyoizumi * Brain Intelligence Theory Unit, RIKEN Center for Brain Science, Wako, Japan Takuya Isomura * Department of Mathematical Informatics, Graduate School of Information Science and


Technology, The University of Tokyo, Tokyo, Japan Taro Toyoizumi Authors * Takuya Isomura View author publications You can also search for this author inPubMed Google Scholar * Taro


Toyoizumi View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHORS Correspondence to Takuya Isomura or Taro Toyoizumi. RIGHTS AND


PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Isomura, T., Toyoizumi, T. Publisher Correction: Dimensionality reduction to maximize prediction generalization


capability. _Nat Mach Intell_ 3, 457 (2021). https://doi.org/10.1038/s42256-021-00352-9 Download citation * Published: 05 May 2021 * Issue Date: May 2021 * DOI:


https://doi.org/10.1038/s42256-021-00352-9 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not


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