Dana Angluin
About
Dana Angluin has authored 70 papers that have received a total of 5.1k indexed citations.
This includes 57 papers in Artificial Intelligence, 43 papers in Computational Theory and Mathematics and 20 papers in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (49 papers), Algorithms and Data Compression (29 papers) and semigroups and automata theory (25 papers). Dana Angluin is often cited by papers focused on Machine Learning and Algorithms (49 papers), Algorithms and Data Compression (29 papers) and semigroups and automata theory (25 papers) and collaborates with scholars based in United States, Israel and United Kingdom. Dana Angluin's co-authors include James Aspnes, David Eisenstat, Dana Fisman, Lev Reyzin and Chen Jiang and has published in prestigious journals such as ACM Computing Surveys, Artificial Intelligence and Journal of the ACM
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