Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise-Reference-Cited by-同舟云学术

Analyzing Robustness of Angluin's L* Algorithm in Presence of Noise

Author:

Khmelnitsky Igor¹,Haddad Serge¹,Ye Lina²,Barbot Benoît³,Bollig Benedikt⁴,Leucker Martin⁵,Neider Daniel⁶,Roy Rajarshi⁷

Affiliation:

1. Université Paris-Saclay, CNRS, ENS Paris-Saclay, INRIA, LMF, France

2. Université Paris-Saclay, CNRS, ENS Paris-Saclay, CentraleSupélec, LMF, France

3. Université Paris-Est Créteil, France

4. Université Paris-Saclay, CNRS, ENS Paris-Saclay, LMF, France

5. Institute for Software Engineering and Programming Languages, Universität zu Lübeck, Germany

6. Carl von Ossietzky University of Oldenburg, Germany

7. Max Planck Institute for Software Systems, Germany

Publisher

Open Publishing Association

Subject

Psychiatry and Mental health

Reference13 articles.

1. Process mining;van der Aalst;CACM,2012

3. Learning From Noisy Examples;Angluin;Mach. Learn.,1987

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