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
Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
Sabina J. Sloman, Daniel M. Oppenheimer 외 2명
arXiv (Cornell University)
|
2022
|
6 회 인용
Clustered Bandits
Loc Bui, Ramesh Johari 외 1명
arXiv (Cornell University)
|
2012
|
6 회 인용
Co-simulation of Continuous Systems: A Tutorial
Cláudio Gomes, Casper Thule 외 3명
arXiv (Cornell University)
|
2018
|
6 회 인용
Cognitive Constructivism and the Epistemic Significance of Sharp Statistical Hypotheses in Natural Sciences
Julio Michael Stern
arXiv (Cornell University)
|
2010
|
6 회 인용
Collaborative Learning with Limited Interaction: Tight Bounds for Distributed Exploration in Multi-Armed Bandits
Tao Chao, Qin Zhang 외 1명
arXiv (Cornell University)
|
2019
|
6 회 인용
Combining and Extremizing Real-Valued Forecasts
Ville Satopää, Lyle Ungar
arXiv (Cornell University)
|
2015
|
6 회 인용
Combining Information from Multiple Forecasters: Inefficiency of Central Tendency
Ville Satopää
arXiv (Cornell University)
|
2017
|
6 회 인용
Combining Rewriting and Incremental Materialisation Maintenance for Datalog Programs with Equality
Boris Motik, Yavor Nenov 외 2명
arXiv (Cornell University)
|
2015
|
6 회 인용
Comparison of surrogate-based uncertainty quantification methods for computationally expensive simulators
Nathan Owen, Peter Challenor 외 2명
arXiv (Cornell University)
|
2015
|
6 회 인용
Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy
Mohammadmahdi Ghahramani, Hamid Esmaeili Najafabadi
arXiv (Cornell University)
|
2022
|
6 회 인용
285
286
287
288
289
