Abstract
This paper proposes an algebraic view of trees which opens the doors to an alternative computational scheme with respect to classic algorithms. In particular, it is shown that this view is very well-suited for machine learning and computational linguistics.
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Notes
- 1.
In the following, we will often regard the elements of \(\mathtt T\) as elements of \(\mathbb {R}^p\), without mentioning function \(\ell \) explicitly.
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Acknowledgements
We thank Ilaria Cardinali for insightful discussions.
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Betti, A., Gori, M. (2020). Trees in the Real Field. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-13-8950-4_17
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DOI: https://doi.org/10.1007/978-981-13-8950-4_17
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