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Relative intrinsic dimensionality is intrinsic to learning

Relative intrinsic dimensionality is intrinsic to learning

10 October 2023
Oliver J. Sutton
Qinghua Zhou
Alexander N. Gorban
I. Tyukin
ArXiv (abs)PDFHTML

Papers citing "Relative intrinsic dimensionality is intrinsic to learning"

6 / 6 papers shown
Title
Towards a mathematical understanding of learning from few examples with
  nonlinear feature maps
Towards a mathematical understanding of learning from few examples with nonlinear feature maps
Oliver J. Sutton
Alexander N. Gorban
I. Tyukin
47
3
0
07 Nov 2022
Scikit-dimension: a Python package for intrinsic dimension estimation
Scikit-dimension: a Python package for intrinsic dimension estimation
Jonathan Bac
Evgeny M. Mirkes
Alexander N. Gorban
I. Tyukin
A. Zinovyev
88
82
0
06 Sep 2021
Estimating the effective dimension of large biological datasets using
  Fisher separability analysis
Estimating the effective dimension of large biological datasets using Fisher separability analysis
L. Albergante
Jonathan Bac
A. Zinovyev
80
39
0
18 Jan 2019
Blessing of dimensionality: mathematical foundations of the statistical
  physics of data
Blessing of dimensionality: mathematical foundations of the statistical physics of data
A. N. Gorban
I. Tyukin
64
150
0
10 Jan 2018
Stochastic Separation Theorems
Stochastic Separation Theorems
A. N. Gorban
I. Tyukin
53
50
0
03 Mar 2017
Observed Universality of Phase Transitions in High-Dimensional Geometry,
  with Implications for Modern Data Analysis and Signal Processing
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing
D. Donoho
Jared Tanner
94
465
0
14 Jun 2009
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