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Leslie Valiant is a Hungarian-born American computer scientist and winner of the 2010 A.M. Turing Award, the highest honor in computer science, “for his fund...
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Leslie Gabriel Valiant (Boedapest, 28 maart 1949) is een Brits informaticus. Hij werkt voornamelijk in de complexiteitstheorie , in de computationele leertheorie , en op het gebied van parallelle en gedistribueerde berekeningen .
Valiant's greatest single contribution may be his 1984 paper "A Theory of the Learnable," which laid the foundations of computational learning theory. He introduced a general framework as well as concrete computational models for studying the learning process, including the famous "probably approximately correct" (PAC) model of machine learning.
Leslie G. Valiant's 108 research works with 28,056 citations and 8,549 reads, including: Toward Identifying the Systems-Level Primitives of Cortex by In-Circuit Testing
Leslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. Recipient of the Turing Award and the Nevanlinna Prize for his foundational contributions to machine learning and computer science, he is the author of Probably Approximately Correct and Circuits of the Mind.
Sinh năm 1949 tại Hungary, Giáo sư Leslie Valiant được coi là một trong những người khai sinh ra lý thuyết học máy, góp phần tạo dựng nền tảng cho các ứng dụng trong lĩnh vực trí tuệ nhân tạo hiện nay. Giáo sư Leslie Valiant hiện đang làm việc tại Đại học Harvard (Mỹ), là ...
14 de nov. de 2014 · The key is "probably approximately correct" algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating.
