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Feature Selection with Distance Correlation

Feature Selection with Distance Correlation

30 November 2022
Ranit Das
Gregor Kasieczka
David Shih
ArXivPDFHTML

Papers citing "Feature Selection with Distance Correlation"

5 / 5 papers shown
Title
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant
  Aggregator Network for Particle Physics
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
16
30
0
01 Nov 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
26
113
0
07 Dec 2021
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
75
385
0
16 Apr 2018
The affinely invariant distance correlation
The affinely invariant distance correlation
J. Dueck
Dominic Edelmann
T. Gneiting
Donald Richards
62
42
0
09 Oct 2012
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
164
2,567
0
28 Mar 2008
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