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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
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News
Yang Li, Yi Pan
arXiv (Cornell University)
|
2020
|
17 회 인용
A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions
Giuseppe Destefanis, Silvia Bartolucci 외 1명
arXiv (Cornell University)
|
2023
|
17 회 인용
A statistical framework for generating microstructures of two-phase random materials: application to fatigue analysis
Ustim Khristenko, Andreï Constantinescu 외 3명
arXiv (Cornell University)
|
2019
|
17 회 인용
Adaptive Conformal Predictions for Time Series
Margaux Zaffran, Aymeric Dieuleveut 외 3명
arXiv (Cornell University)
|
2022
|
17 회 인용
Adaptive Online Learning
Dylan J. Foster, Alexander Rakhlin 외 1명
arXiv (Cornell University)
|
2015
|
17 회 인용
Adaptive Regret of Convex and Smooth Functions
Lijun Zhang, Tie‐Yan Liu 외 1명
arXiv (Cornell University)
|
2019
|
17 회 인용
An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios
Perny, Patrice, Olivier Spanjaard
arXiv (Cornell University)
|
2012
|
17 회 인용
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints
Xin Liu, Bin Li 외 2명
arXiv (Cornell University)
|
2021
|
17 회 인용
An optimal algorithm for stochastic strongly-convex optimization
Elad Hazan, Satyen Kale
arXiv (Cornell University)
|
2010
|
17 회 인용
Ascending auctions and Walrasian equilibrium
Oren Ben-Zwi, Ron Lavi 외 1명
arXiv (Cornell University)
|
2013
|
17 회 인용
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