Skip to main content
누빈트
에이전트
더 알아보기
요금제
회사 소개
KO
Home
논문 리뷰
Social Sciences
Social Sciences 논문 리뷰
Social 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
9999+개의 결과
PAC-Bayes Mini-tutorial: A Continuous Union Bound
Tim van Erven
arXiv (Cornell University)
|
2014
|
14 회 인용
PAC Reinforcement Learning with Rich Observations
Akshay Krishnamurthy, Alekh Agarwal 외 1명
arXiv (Cornell University)
|
2016
|
14 회 인용
PageRank Approach to Ranking National Football Teams
Verica Lazova, Lasko Basnarkov
arXiv (Cornell University)
|
2015
|
14 회 인용
Parameter and State Estimation in Queues and Related Stochastic Models: A Bibliography
Azam Asanjarani, Yoni Nazarathy
arXiv (Cornell University)
|
2017
|
14 회 인용
Pathwise uniqueness for stochastic heat equations with Hölder continuous coefficients: the white noise case
Leonid Mytnik, Edwin Perkins
ArXiv.org
|
2008
|
14 회 인용
Payoff Dynamics Model and Evolutionary Dynamics Model: Feedback and Convergence to Equilibria
Shinkyu Park, Nuno C. Martins 외 1명
arXiv (Cornell University)
|
2019
|
14 회 인용
Peer Effects and Stability in Matching Markets
Elizabeth Bodine-Baron, Christina Lee 외 3명
arXiv (Cornell University)
|
2011
|
14 회 인용
POSTER++: A simpler and stronger facial expression recognition network
Jiawei Mao, Rui Xu 외 4명
arXiv (Cornell University)
|
2023
|
14 회 인용
Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach
Zhengyi Zhou, David S. Matteson
arXiv (Cornell University)
|
2015
|
14 회 인용
Predicting Future Sales of Retail Products using Machine Learning
Devendra Swami, Alay Shah 외 1명
arXiv (Cornell University)
|
2020
|
14 회 인용
364
365
366
367
368
