论文标题
希尔伯特系列的机器学习
Machine Learning for Hilbert Series
论文作者
论文摘要
希尔伯特（Hilbert）系列是代数几何形状的标准工具，最近在理论物理学中发现了许多用途。本摘要评论将机器学习应用于数据库的工作；并为2021年的数学对话研讨会的诉讼做好了准备。
Hilbert series are a standard tool in algebraic geometry, and more recently are finding many uses in theoretical physics. This summary reviews work applying machine learning to databases of them; and was prepared for the proceedings of the Nankai Symposium on Mathematical Dialogues, 2021.
