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A kernel function for Signal Temporal Logic formulae
Luca Bortolussi, Giuseppe Maria Gallo, Laura Nenzi · 2020-09-11 · via stat.ML updates on arXiv.org

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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