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A divide and conquer method for symbolic regression
v1v2 (latest)

A divide and conquer method for symbolic regression

23 May 2017
C. Luo
Chen Chen
Zonglin Jiang
ArXiv (abs)PDFHTML

Papers citing "A divide and conquer method for symbolic regression"

5 / 5 papers shown
GSR: A Generalized Symbolic Regression Approach
GSR: A Generalized Symbolic Regression Approach
Tony Tohme
Dehong Liu
K. Youcef-Toumi
320
18
0
31 May 2022
Symbolic Regression using Mixed-Integer Nonlinear Optimization
Symbolic Regression using Mixed-Integer Nonlinear Optimization
V. Austel
Cristina Cornelio
S. Dash
Joao Goncalves
L. Horesh
Tyler R. Josephson
N. Megiddo
115
6
0
11 Jun 2020
Globally Optimal Symbolic Regression
Globally Optimal Symbolic Regression
V. Austel
S. Dash
Oktay Gunluk
L. Horesh
L. Liberti
G. Nannicini
B. Schieber
177
25
0
29 Oct 2017
Fast Modeling Methods for Complex System with Separable Features
Fast Modeling Methods for Complex System with Separable Features
Chen Chen
C. Luo
Zonglin Jiang
47
3
0
05 Aug 2017
Block building programming for symbolic regression
Block building programming for symbolic regression
Chen Chen
C. Luo
Zonglin Jiang
48
19
0
22 May 2017
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