The signature kernel is a positive definite kernel for sequential data. It inherits theoretical guarantees from stochastic analysis, has efficient algorithms for computation, and shows strong empirical performance. In this short survey paper for a forthcoming Springer handbook, we give an elementary introduction to the signature kernel and highlight these theoretical and computational properties.

翻译：签名核是一种适用于序列数据的正定核。它继承了随机分析的理论保证，具备高效的计算算法，并展现出强大的实证性能。在即将出版的斯普林格手册中，这篇简短的综述文章对签名核进行了基础性介绍，并重点阐述了其理论与计算性质。