Paper ID: 2407.00245

Learning Closed Signal Flow Graphs

Ekaterina Piotrovskaya, Leo Lobski, Fabio Zanasi

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.

Submitted: Jun 28, 2024