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We propose in this paper an e cient learning algorithm, called LSep , that learns and generates a minimal separating DFA. Our algorithm has a quadratic query ...
Algorithms for learning a minimal separating DFA of two disjoint regular languages have been proposed and adapted for different applications.
System consist of Components M1 and M2 shall satisfy a Property P can be describe by regular Laguages L(M1),L(M2),L(P).
Abstract. We propose DFAMiner, a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of la- belled samples.
May 29, 2024 · We propose DFAMiner, a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of labelled samples.
Missing: Compositional Verification.
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In this paper, we survey different algorithms to learn minimal deterministic automata in this setting in a coherent fashion.
Sep 15, 2024 · We propose , a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of labelled samples.
May 14, 2009 · Learning Minimal Separating DFA's for Compositional Verification. Speaker. Adam Dunkels. Date and Time. Thursday, May 14th, 2009, at 13.30.
Experimental results show that these approaches are helpful for automating the compositional verification of probabilistic systems through learning small ...
Feb 19, 2024 · We propose a query learning algorithm for constructing a minimal DSFA M that separates given two regular languages L + and L - , i.e., ...