Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
전체
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
필터
5,756개의 결과
Structured Singular Value of a Repeated Complex Full-Block Uncertainty
Talha Mushtaq, Diganta Bhattacharjee 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
Summation of Divergent Power Series by Means of Factorial Series
Ernst Joachim Weniger
arXiv (Cornell University)
|
2010
|
4 회 인용
Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting
Tugce Karatas, Federico Klinkert 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Survey of Self-Play in Reinforcement Learning
Anthony DiGiovanni, Ethan Zell
arXiv (Cornell University)
|
2021
|
4 회 인용
Surveying Generative AI's Economic Expectations
Leland Bybee
arXiv (Cornell University)
|
2023
|
4 회 인용
Sustainability and Reproducibility via Containerized Computing
Robert Nagler, David Bruhwiler 외 2명
arXiv (Cornell University)
|
2015
|
4 회 인용
Synthetically Controlled Bandits
Vivek F. Farias, Ciamac C. Moallemi 외 2명
arXiv (Cornell University)
|
2022
|
4 회 인용
TabGSL: Graph Structure Learning for Tabular Data Prediction
Jay Chiehen Liao, Cheng–Te Li
arXiv (Cornell University)
|
2023
|
4 회 인용
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity
Christian Fröhlich, Robert C. Williamson
arXiv (Cornell University)
|
2022
|
4 회 인용
Target Tracking for Contextual Bandits: Application to Demand Side Management
Margaux Brégère, Pierre Gaillard 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
459
460
461
462
463
