Corpus ID: 237605160

A machine learning approach to commutative algebra: Distinguishing table vs non-table ideals

@inproceedings{Amoros2021AML,
  title={A machine learning approach to commutative algebra: Distinguishing table vs non-table ideals},
  author={Laia Amor'os and Oleksandra Gasanova and Laura Jakobsson},
  year={2021}
}
We propose a novel approach to distinguish table vs non-table ideals by using different machine learning algorithms. We introduce the reader to table ideals, assuming some knowledge on commutative algebra and describe their main properties. We create a data set containing table and non-table ideals, and we use a feedforward neural network model, a decision tree and a graph neural networks for the classification. Our results indicate that there exists an algorithm to distinguish table ideals… Expand

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