📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Lessons on Datasets and Paradigms in Machine Learning for Symbolic Computation: A Case Study on CAD (2024)

First Author: Del Río T

Attributed to: Pushing Back the Doubly-Exponential Wall of Cylindrical Algebraic Decomposition funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s11786-024-00591-0

Publication URI: http://dx.doi.org/10.1007/s11786-024-00591-0

Type: Journal Article/Review

Parent Publication: Mathematics in Computer Science

Issue: 3