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Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
bdbms -- A Database Management System for Biological Data
Mohamed Y. Eltabakh, Mourad Ouzzani 외 1명
ArXiv.org
|
2006
|
46 회 인용
Capital Allocation to Business Units and Sub-Portfolios: the Euler Principle
Dirk Tasche
ArXiv.org
|
2007
|
46 회 인용
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudı́k 외 3명
arXiv (Cornell University)
|
2012
|
46 회 인용
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme, George Tucker 외 1명
arXiv (Cornell University)
|
2018
|
46 회 인용
Deep Learning Stock Volatility with Google Domestic Trends
Ruoxuan Xiong, Eric Nichols 외 1명
arXiv (Cornell University)
|
2015
|
46 회 인용
Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces
Anatoli Juditsky, Arkadii S. Nemirovski
arXiv (Cornell University)
|
2008
|
46 회 인용
Open-ended Learning in Symmetric Zero-sum Games
David Balduzzi, Marta Garnelo 외 5명
arXiv (Cornell University)
|
2019
|
46 회 인용
An error bound in the Sudakov-Fernique inequality
Sourav Chatterjee
ArXiv.org
|
2005
|
45 회 인용
An introduction to quantum cluster methods
David Sénéchal
arXiv (Cornell University)
|
2008
|
45 회 인용
Conservative Contextual Linear Bandits
Abbas Kazerouni, Mohammad Ghavamzadeh 외 2명
arXiv (Cornell University)
|
2016
|
45 회 인용
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