Dana Angluin
Professor of computer science / From Wikipedia, the free encyclopedia
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Dana Angluin is a professor emeritus of computer science at Yale University.[2] She is known for foundational work in computational learning theory[3][4][5] and distributed computing.[6]
Quick Facts Alma mater, Known for ...
Dana Angluin | |
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Alma mater | University of California, Berkeley |
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Scientific career | |
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Institutions | Yale University |
Thesis | An Application of the Theory of Computational Complexity to the Study of Inductive Inference (1976) |
Doctoral advisor | Manuel Blum[1] |
Doctoral students | Ehud Shapiro |
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