Michael Frazier
About
Michael Frazier has authored 11 papers that have received a total of 135 indexed citations.
This includes 10 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 1 paper in Computer Networks and Communications. The topics of these papers are Machine Learning and Algorithms (8 papers), Algorithms and Data Compression (5 papers) and semigroups and automata theory (4 papers). Michael Frazier is often cited by papers focused on Machine Learning and Algorithms (8 papers), Algorithms and Data Compression (5 papers) and semigroups and automata theory (4 papers) and collaborates with scholars based in United States and United Kingdom. Michael Frazier's co-authors include Leonard Pitt, Dana Angluin, C. David Page, Nina Mishra and Sally A. Goldman and has published in prestigious journals such as IEEE Transactions on Industry Applications, Machine Learning and Journal of Computer and System Sciences.
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