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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
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
Botao Hao, Yaqi Duan 외 3명
arXiv (Cornell University)
|
2020
|
10 회 인용
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling
Yan Liu, Taha Bahadori 외 1명
arXiv (Cornell University)
|
2012
|
10 회 인용
Stable-1/2 Bridges and Insurance: a Bayesian approach to non-life reserving
Edward Hoyle, Lane P. Hughston 외 1명
arXiv (Cornell University)
|
2010
|
10 회 인용
Stable-Predictive Optimistic Counterfactual Regret Minimization
Gabriele Farina, Christian Kroer 외 2명
arXiv (Cornell University)
|
2019
|
10 회 인용
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
Nicholas Larsen, Jonathan W. Stallrich 외 4명
arXiv (Cornell University)
|
2022
|
10 회 인용
Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries
Sidra Mehtab, Jaydip Sen
SSRN Electronic Journal
|
2020
|
10 회 인용
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Liangyu Zha, Junlin Zhou 외 23명
arXiv (Cornell University)
|
2023
|
10 회 인용
Tail-GAN: Learning to Simulate Tail Risk Scenarios
Rama Cont, Mihai Cucuringu 외 2명
arXiv (Cornell University)
|
2022
|
10 회 인용
Temporal Action-Graph Games: A New Representation for Dynamic Games
Albert Xin Jiang, Kevin Leyton‐Brown 외 1명
arXiv (Cornell University)
|
2012
|
10 회 인용
The Asymptotic Order of the k-SAT Threshold
Dimitris Achlioptas, Cristopher Moore
arXiv (Cornell University)
|
2002
|
10 회 인용
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