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Valiant于1986年获得Nevanlinna奖，1997年的Knuth奖，2008年的EATCS奖和2010年的Turing奖。 1992年的人工智能（AAAI），以及2001年美国国家科学院的成员。Valiant的皇家学会提名： 莱斯利·瓦利安特（Leslie Valiant）为理论计算机科学的增长做出了决定性的贡献。
15 de abr. de 2024 · Leslie Valiant received his Ph.D. in computer science from Warwick University. He is currently the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. He has been awarded a Guggenheim Fellowship, the Knuth Prize, and the Turing Award, and he is a member of the National Academy of Sciences as well ...
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.
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.
4 de jun. de 2013 · Leslie Valiant sets out to show that it is computationally feasible for life to evolve its amazingly complex solutions to problems of survival, given the time (3.5bn years) and resource available.
Há 3 dias · Leslie G. Valiant is T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics in the School of Engineering and Applied Sciences at Harvard University. He is known for transformative contributions to the theory of computation, including the theory of probably approximately correct learning, the complexity of enumeration and algebraic computation, and the theory of parallel ...
Leslie Gabriel Valiant (* 28. března 1949, Budapešť, Maďarsko) je britský informatik. [1] [2] Nejvýznamnější je jeho přínos v oblasti výpočetní složitosti , ale zabývá se i strojovým učením a neuropočítáním , kde se zaměřuje především na principy paměti a učení se. Je také autorem konceptu holografických algoritmů .
