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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
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives
Qi Qi, Zhishuai Guo 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
Analytical Study on Internet Banking System
Fadhel. S. AlAbdullah, Fahad H. Alshammari 외 4명
arXiv (Cornell University)
|
2010
|
9 회 인용
Anticipatory Thinking: A Metacognitive Capability
Adam Amos‐Binks, Dustin Dannenhauer
arXiv (Cornell University)
|
2019
|
9 회 인용
Application of deep reinforcement learning for Indian stock trading automation
Supriya Bajpai
arXiv (Cornell University)
|
2021
|
9 회 인용
Application of Quantum Annealing to Nurse Scheduling Problem
Kazuki Ikeda, Y. Nakamura 외 1명
arXiv (Cornell University)
|
2019
|
9 회 인용
Approximation Algorithms for Bayesian Multi-Armed Bandit Problems
Sudipto Guha, Kamesh Munagala
arXiv (Cornell University)
|
2013
|
9 회 인용
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems
Shailesh Garg, Harshit Gupta 외 1명
arXiv (Cornell University)
|
2022
|
9 회 인용
Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
Zhiyuan Chen, Howe Seng Goh 외 4명
arXiv (Cornell University)
|
2021
|
9 회 인용
Bandit optimisation of functions in the Matérn kernel RKHS
David M. Janz, David R. Burt 외 1명
arXiv (Cornell University)
|
2020
|
9 회 인용
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
D. Garg, Priyanka Gupta 외 3명
arXiv (Cornell University)
|
2020
|
9 회 인용
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