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
5,669개의 결과
A Survey on Practical Applications of Multi-Armed and Contextual Bandits
Djallel Bouneffouf, Irina Rish
arXiv (Cornell University)
|
2019
|
106 회 인용
Multi-Armed Bandits for Intelligent Tutoring Systems
Benjamin Clément, Didier Roy 외 2명
arXiv (Cornell University)
|
2013
|
106 회 인용
Learning from Logged Implicit Exploration Data
Alex Strehl, John Langford 외 2명
arXiv (Cornell University)
|
2010
|
105 회 인용
Online Alternating Direction Method
Huahua Wang, Arindam Banerjee
arXiv (Cornell University)
|
2012
|
105 회 인용
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou, Ziqing Ma 외 6명
arXiv (Cornell University)
|
2022
|
103 회 인용
Intuitionistic Neutrosophic Soft Set
Said Broumi, Florentín Smarandache
arXiv (Cornell University)
|
2014
|
103 회 인용
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting
Samit Bhanja, Abhishek Das
arXiv (Cornell University)
|
2018
|
102 회 인용
Optimal Best Arm Identification with Fixed Confidence
Aurélien Garivier, Emilie Kaufmann
arXiv (Cornell University)
|
2016
|
101 회 인용
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar 외 2명
arXiv (Cornell University)
|
2015
|
101 회 인용
Knapsack based Optimal Policies for Budget-Limited Multi-Armed Bandits
Tran-Thanh, Long, Archie C. Chapman 외 2명
arXiv (Cornell University)
|
2012
|
100 회 인용
10
11
12
13
14
