Sep 9, 2022 · We survey recent work (both the author's and from the literature) on the use of Machine Learning technology to improve algorithms of interest to SC-Square.
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Both papers employed neural networks for the classification and obtained the quantity of data these need through random polynomial generation. We note that care.
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In this extended abstract, to accompany a keynote talk at the 2021 SC-Square Workshop, we survey recent work (both the author's and from the literature) on the ...
In this extended abstract, to accompany a keynote talk at the 2021 SC-Square Workshop, we survey recent work (both the author's and from the literature) on the ...
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Matthew England: SC-Square: Future Progress with Machine Learning? (invited paper).
Sep 9, 2022 · In this extended abstract, to accompany a keynote talk at the 2021 SC-Square Workshop, we survey recent work (both the author's and from the ...
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This extended abstract was written to accompany an invited talk at the 2021 SC-Square Workshop, where the author was asked to give an overview of SC-Square ...
SC-Square: Future Progress with Machine Learning? Authors: Matthew England. Comments: 10 pages. Survey Paper. Accepted into SC-Square 2021 Workshop Proceedings.
Nov 14, 2022 · SC-Square: Overview to 2021 (invited paper) 1–6. Matthew England ; SC-Square: Future Progress with Machine Learning? (invited paper) 7–16
Aug 19, 2021 · SC-Square: Past Successes and Future Progress with Machine Learning ... People from industry and business are warmly invited to submit papers ...