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Decision Sciences
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
Knowing The What But Not The Where in Bayesian Optimization
Loc Nguyen, Michael A. Osborne
arXiv (Cornell University)
|
2019
|
11 회 인용
Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley 외 2명
arXiv (Cornell University)
|
2013
|
11 회 인용
Latent Bandits Revisited
Joey Hong, Branislav Kveton 외 4명
arXiv (Cornell University)
|
2020
|
11 회 인용
Lattice QCD - A guide for people who want results
C. T. H. Davies
ArXiv.org
|
2005
|
11 회 인용
Learning in Time-Varying Games
Benoît Duvocelle, Panayotis Mertikopoulos 외 2명
arXiv (Cornell University)
|
2018
|
11 회 인용
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
Yanjun Han, Zhengyuan Zhou 외 3명
arXiv (Cornell University)
|
2020
|
11 회 인용
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
Yangtuo Peng, Hui Jiang
arXiv (Cornell University)
|
2015
|
11 회 인용
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently
Asaf Cassel, Alon Cohen 외 1명
arXiv (Cornell University)
|
2020
|
11 회 인용
Machine Learning Algorithms for Time Series Analysis and Forecasting
Rameshwar Garg, Shriya Barpanda 외 2명
arXiv (Cornell University)
|
2022
|
11 회 인용
Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review
Giuliano Lorenzoni, Paulo S. C. Alencar 외 2명
arXiv (Cornell University)
|
2021
|
11 회 인용
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