Estimating the effective dimension of large biological datasets using Fisher separability analysis

18 January 2019

Papers citing "Estimating the effective dimension of large biological datasets using Fisher separability analysis"

10 / 10 papers shown

Title
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 156 3 0 02 Oct 2024
Correction of AI systems by linear discriminants: Probabilistic foundations A. N. Gorban A. Golubkov Bogdan Grechuk E. M. Mirkes I. Tyukin 25 63 0 11 Nov 2018
The unreasonable effectiveness of small neural ensembles in high-dimensional brain A. N. Gorban V. Makarov I. Tyukin 37 52 0 20 Sep 2018
Local angles and dimension estimation from data on manifolds Mateo Díaz A. Quiroz Mauricio Velasco 107 10 0 04 May 2018
Estimating the intrinsic dimension of datasets by a minimal neighborhood information Elena Facco M. d’Errico Alex Rodriguez Alessandro Laio 51 327 0 19 Mar 2018
Blessing of dimensionality: mathematical foundations of the statistical physics of data A. N. Gorban I. Tyukin 64 150 0 10 Jan 2018
Knowledge Transfer Between Artificial Intelligence Systems I. Tyukin A. Gorban Konstantin I. Sofeikov I. Romanenko 30 31 0 05 Sep 2017
Stochastic Separation Theorems A. N. Gorban I. Tyukin 53 50 0 03 Mar 2017
Intrinsic dimension estimation of data by principal component analysis Mingyu Fan N. Gu Hong Qiao Bo Zhang 106 38 0 10 Feb 2010
Principal Graphs and Manifolds A. N. Gorban A. Zinovyev 118 147 0 02 Sep 2008