Michael Kearns
About
Michael Kearns has authored 138 papers that have received a total of 6.6k indexed citations.
This includes 89 papers in Artificial Intelligence, 42 papers in Management Science and Operations Research and 20 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning and Algorithms (53 papers), Game Theory and Applications (20 papers) and Machine Learning and Data Classification (17 papers). Michael Kearns is often cited by papers focused on Machine Learning and Algorithms (53 papers), Game Theory and Applications (20 papers) and Machine Learning and Data Classification (17 papers) and collaborates with scholars based in United States, Israel and United Kingdom. Michael Kearns's co-authors include Yishay Mansour, Aaron Roth, Satinder Singh, David Haussler and Robert E. Schapire and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research
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