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Subject Item
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Роберт Шапіро Robert Schapire Robert Schapire Robert Schapire Robert Schapire 羅伯特·沙皮爾
rdfs:comment
Robert Elias Schapire is an American computer scientist, former David M. Siegel '83 Professor in the computer science department at Princeton University, and has recently moved to Microsoft Research. His primary specialty is theoretical and applied machine learning. In 2014, Schapire was elected a member of the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms. In 2016, he was elected to the National Academy of Sciences. Robert Elias Schapire est professeur et chercheur en informatique. Il a été professeur à l'université de Princeton, puis est passé chez Microsoft. Son travail est centré autour de l'apprentissage automatique. Il est connu pour son travail avec Yoav Freund sur l'algorithme Adaboost qui leur a valu le prix Gödel en 2003, et le Prix Paris Kanellakis en 2004. Robert Elias Schapire (* 15. Dezember 1963) ist ein US-amerikanischer Informatiker, der sich mit Maschinenlernen befasst. Er ist Professor an der Princeton University. Er wurde 1991 bei Ronald Rivest am Massachusetts Institute of Technology promoviert (The design and analysis of efficient learning algorithms). 2016 wurde Schapire in die National Academy of Sciences gewählt. Роберт Еліас Шапіро (англ. Robert Elias Schapire; нар. 1963 року) — американський науковець, професор кафедри комп'ютерних наук в Принстонському університеті. Нещодавно перейшов до Microsoft Research. Його основна спеціальність — теоретичне та прикладне машинне навчання. Robert Elias Schapire (ur. 15 grudnia 1963) – amerykański profesor informatyki. Pracował na Uniwersytecie Princeton, a w 2014 roku przeniósł się do Microsoftu. Zajmuje się uczeniem maszynowym. Wspólnie z za algorytm AdaBoost otrzymał w 2003 roku nagrodę Gödla, a w 2004 roku Nagrodę Parisa Kanellakisa.
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Robert Elias Schapire
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The design and analysis of efficient learning algorithms
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1991
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Robert Elias Schapire est professeur et chercheur en informatique. Il a été professeur à l'université de Princeton, puis est passé chez Microsoft. Son travail est centré autour de l'apprentissage automatique. Il est connu pour son travail avec Yoav Freund sur l'algorithme Adaboost qui leur a valu le prix Gödel en 2003, et le Prix Paris Kanellakis en 2004. Robert Elias Schapire (ur. 15 grudnia 1963) – amerykański profesor informatyki. Pracował na Uniwersytecie Princeton, a w 2014 roku przeniósł się do Microsoftu. Zajmuje się uczeniem maszynowym. Wspólnie z za algorytm AdaBoost otrzymał w 2003 roku nagrodę Gödla, a w 2004 roku Nagrodę Parisa Kanellakisa. Robert Elias Schapire (* 15. Dezember 1963) ist ein US-amerikanischer Informatiker, der sich mit Maschinenlernen befasst. Er ist Professor an der Princeton University. Er wurde 1991 bei Ronald Rivest am Massachusetts Institute of Technology promoviert (The design and analysis of efficient learning algorithms). Er entwickelte 1990 die ersten Algorithmen vom Boosting-Typ (und beantwortete damit ein Problem von Leslie Valiant und M. Kearns (1988), ob die Klasse schwacher Lernalgorithmen äquivalent zu der starker Lernalgorithmen ist) und 1995 AdaBoost (Adaptive Boost) mit Yoav Freund.2004 erhielt er mit Yoav Freund den Paris-Kanellakis-Preis und 2003 den Gödel-Preis für AdaBoost. 2016 wurde Schapire in die National Academy of Sciences gewählt. Роберт Еліас Шапіро (англ. Robert Elias Schapire; нар. 1963 року) — американський науковець, професор кафедри комп'ютерних наук в Принстонському університеті. Нещодавно перейшов до Microsoft Research. Його основна спеціальність — теоретичне та прикладне машинне навчання. Robert Elias Schapire is an American computer scientist, former David M. Siegel '83 Professor in the computer science department at Princeton University, and has recently moved to Microsoft Research. His primary specialty is theoretical and applied machine learning. His work led to the development of the boosting ensemble algorithm used in machine learning. His PhD dissertation, The design and analysis of efficient learning algorithms, won him the ACM Doctoral Dissertation Award in 1991. Together with Yoav Freund, he invented the AdaBoost algorithm in 1996. They both received the Gödel prize in 2003 for this work. In 2014, Schapire was elected a member of the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms. In 2016, he was elected to the National Academy of Sciences.
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Paris Kanellakis Award Gödel prize
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