Results 11 to 20 of about 753,997 (217)
A Causal Analysis of Harm [PDF]
Minds and Machines, 2022 AbstractAs autonomous systems rapidly become ubiquitous, there is a growing need for a legal and regulatory framework that addresses when and how such a system harms someone. There have been several attempts within the philosophy literature to define harm, but none of them has proven capable of dealing with the many examples that have been presented ...
Sander Beckers +2 more
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Medium and Long-Term Hydrogen Load Prediction Based on System Dynamics
Zhongguo dianli, 2023 Hydrogen energy will play a great role in various fields under the background of “double carbon”, it is important to carry out medium and long-term forecasting of hydrogen demand, and propose a medium and long-term forecasting model of provincial ...
Tiejiang YUAN +3 more
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CoRR, 2022 Decision-making systems based on AI and machine learning have been used throughout a wide range of real-world scenarios, including healthcare, law enforcement, education, and finance. It is no longer far-fetched to envision a future where autonomous systems will be driving entire business decisions and, more broadly, supporting large-scale decision ...
Drago Plecko, Elias Bareinboim
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Tourism Development During the Pandemic of Coronavirus (COVID-19): Evidence From Iran
Frontiers in Public Health, 2022 The coronavirus (COVID-19) epidemic has created a great deal of fear and uncertainty about health, economy, and social life. Therefore, the health, social, and economic impacts of COVID-19 are of great importance.
Zeynab Hallaj +4 more
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Advances in Neural Information Processing Systems 36, 2023 NeurIPS 2023 final camera-ready ...
Wendong Liang +6 more
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Machine Learning Incorporated With Causal Analysis for Short-Term Prediction of Sea Ice
Frontiers in Marine Science, 2021 Accurate and fast prediction of sea ice conditions is the foundation of safety guarantee for Arctic navigation. Aiming at the imperious demand of short-term prediction for sea ice, we develop a new data-driven prediction technique for the sea ice ...
Ming Li +3 more
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Power Analysis for Causal Discovery
International Journal of Data Science and Analytics, 2022 Abstract Causal discovery algorithms have the potential to impact many fields of science. However, substantial foundational work on the statistical properties of causal discovery algorithms is still needed. This paper presents what is to our knowledge the first method for conducting power analysis for causal discovery algorithms.
Erich Kummerfeld +2 more
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ISPRS International Journal of Geo-Information, 2023 Exploring spatiotemporal patterns of traffic accidents from historic crash databases is one essential prerequisite for road safety management and traffic risk prevention.
Yunfei Zhang +4 more
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Causality fields in nonlinear causal effect analysis
Frontiers of Information Technology & Electronic Engineering, 2022 与线性因果相比, 非线性因果具有更复杂的特点和内涵. 本文主要讨论非线性因果中的若干个问题, 并着重强调因果域的概念. 本文基于广泛应用的计算模型和方法, 围绕非线性因果分析与计算以及因果域的识别问题提出相应观点和建议, 并通过几个具体案例揭示非线性因果在处理复杂因果推断问题中的重要性和现实意义.
Aiguo Wang 0002 +3 more
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CAUSAL ANALYSIS AFTER HAAVELMO [PDF]
Econometric Theory, 2013 Haavelmo’s seminal 1943 and 1944 papers are the first rigorous treatment of causality. In them, he distinguished the definition of causal parameters from their identification. He showed that causal parameters are defined usinghypotheticalmodels that assign variation to some of the inputs determining outcomes while holding all other inputs fixed.
James Heckman, Rodrigo Pinto
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