Détails sur le séminaire


Room 206 (2nd floor, badged access)

7 juillet 2022 - 14h00
Towards Efficient Active Learning of PDFA
par Franz Meyer de Universidad ORT Uruguay



Abstract: We propose a new active learning algorithm for PDFA based on three main aspects: a congruence over states which takes into account next-symbol probability distributions, a quantization that copes with differences in distributions, and an efficient tree-based data structure. Experiments showed significant performance gains with respect to reference implementations.




Contact | Plan du site | Site réalisé avec SPIP 3.2.16 + AHUNTSIC [CC License]

info visites 1878029