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Algorithmically generating new algebraic features of polynomial systems
  for machine learning

Algorithmically generating new algebraic features of polynomial systems for machine learning

3 June 2019
Dorian Florescu
Matthew England
ArXivPDFHTML

Papers citing "Algorithmically generating new algebraic features of polynomial systems for machine learning"

5 / 5 papers shown
Title
Comparing machine learning models to choose the variable ordering for
  cylindrical algebraic decomposition
Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition
Matthew England
Dorian Florescu
13
25
0
24 Apr 2019
Using Machine Learning to Improve Cylindrical Algebraic Decomposition
Using Machine Learning to Improve Cylindrical Algebraic Decomposition
Zongyan Huang
Matthew England
D. Wilson
J. Davenport
Lawrence Charles Paulson
39
24
0
26 Apr 2018
Using Machine Learning to Decide When to Precondition Cylindrical
  Algebraic Decomposition With Groebner Bases
Using Machine Learning to Decide When to Precondition Cylindrical Algebraic Decomposition With Groebner Bases
Zongyan Huang
Matthew England
J. Davenport
Lawrence Charles Paulson
21
26
0
15 Aug 2016
Applying machine learning to the problem of choosing a heuristic to
  select the variable ordering for cylindrical algebraic decomposition
Applying machine learning to the problem of choosing a heuristic to select the variable ordering for cylindrical algebraic decomposition
Zongyan Huang
Matthew England
D. Wilson
J. Davenport
Lawrence Charles Paulson
James P. Bridge
53
57
0
25 Apr 2014
SATzilla: Portfolio-based Algorithm Selection for SAT
SATzilla: Portfolio-based Algorithm Selection for SAT
Lin Xu
Frank Hutter
Holger H. Hoos
Kevin Leyton-Brown
92
969
0
31 Oct 2011
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