arXiv · 2009.05484
A kernel function for Signal Temporal Logic formulae
Abstract
We discuss how to define a kernel for Signal Temporal Logic (STL) formulae. Such a kernel allows us to embed the space of formulae into a Hilbert space, and opens up the use of kernel-based machine learning algorithms in the context of STL. We show an application of this idea to a regression problem in formula space for probabilistic models.
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Luca Bortolussi, Giuseppe Maria Gallo, Laura Nenzi. 2020-09-11. A kernel function for Signal Temporal Logic formulae. https://arxiv.org/abs/2009.05484
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