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arXiv · 2407.00245

Learning Closed Signal Flow Graphs

Ekaterina Piotrovskaya·Leo Lobski·Fabio Zanasi
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Abstract

We develop a learning algorithm for closed signal flow graphs - a graphical model of signal transducers. The algorithm relies on the correspondence between closed signal flow graphs and weighted finite automata on a singleton alphabet. We demonstrate that this procedure results in a genuine reduction of complexity: our algorithm fares better than existing learning algorithms for weighted automata restricted to the case of a singleton alphabet.

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Ekaterina Piotrovskaya, Leo Lobski, Fabio Zanasi. 2024-06-28. Learning Closed Signal Flow Graphs. https://arxiv.org/abs/2407.00245

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