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
Query2Vec: NLP Meets Databases for Generalized Workload Analytics.
Shrainik Jain, Bill Howe
arXiv (Cornell University)
|
2018
|
5 회 인용
Randomized Allocation with Nonparametric Estimation for Contextual Multi-Armed Bandits with Delayed Rewards
Sakshi Arya, Yuhong Yang
arXiv (Cornell University)
|
2019
|
5 회 인용
Randomized Quantile Residuals: an Omnibus Model Diagnostic Tool with Unified Reference Distribution
Cindy Feng, Alireza Sadeghpour 외 1명
arXiv (Cornell University)
|
2017
|
5 회 인용
Ranking and Selection under Input Uncertainty: Fixed Confidence and Fixed Budget
Di Wu, Enlu Zhou
arXiv (Cornell University)
|
2017
|
5 회 인용
Recommender systems inspired by the structure of quantum theory
Cyril Stark
arXiv (Cornell University)
|
2016
|
5 회 인용
Reforming the international system of units: On our way to redefine the base units solely from fundamental constants and beyond
Christian Bordé
arXiv (Cornell University)
|
2016
|
5 회 인용
Regret Bounds for Deterministic Gaussian Process Bandits
Nando de Freitas, Alexander J. Smola 외 1명
arXiv (Cornell University)
|
2012
|
5 회 인용
Regret in Online Combinatorial Optimization
Jean-Yves Audibert, Sébastien Bubeck 외 1명
arXiv (Cornell University)
|
2012
|
5 회 인용
Regret, stability, and fairness in matching markets with bandit learners.
Sarah H. Cen, Devavrat Shah
arXiv (Cornell University)
|
2021
|
5 회 인용
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
Farhad Farokhi
arXiv (Cornell University)
|
2020
|
5 회 인용
367
368
369
370
371