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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Currency Forecasting using Multiple Kernel Learning with Financially Motivated Features
Tristan Fletcher, Zakria Hussain 외 1명
arXiv (Cornell University)
|
2010
|
5 회 인용
D numbers theory: a generalization of Dempster-Shafer evidence theory
Yong Deng
arXiv (Cornell University)
|
2014
|
5 회 인용
Data aggregation can lead to biased inferences in Bayesian linear mixed models
Daniel J. Schad, Bruno Nicenboim 외 1명
Data Archiving and Networked Services (DANS)
|
2022
|
5 회 인용
Data-centric AI: Perspectives and Challenges
Daochen Zha, Zaid Pervaiz Bhat 외 3명
arXiv (Cornell University)
|
2023
|
5 회 인용
Data-driven Ranking and Selection under Input Uncertainty
Di Wu, Yuhao Wang 외 1명
arXiv (Cornell University)
|
2017
|
5 회 인용
Data Engineering for Everyone
Vijay Janapa Reddi, Greg Diamos 외 3명
arXiv (Cornell University)
|
2021
|
5 회 인용
Decision-Theoretic Control of Problem Solving: Principles and Architecture
John S. Breese, Michael Fehling
arXiv (Cornell University)
|
2013
|
5 회 인용
Decision under Uncertainty
Philippe Smets
arXiv (Cornell University)
|
2013
|
5 회 인용
Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data
Nikolaos Passalis, Anastasios Tefas 외 3명
arXiv (Cornell University)
|
2019
|
5 회 인용
Deep Fundamental Factor Models
Matthew Dixon, Nicholas G. Polson
arXiv (Cornell University)
|
2019
|
5 회 인용
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