Deep learning provides powerful methods to impute structured information from large-scale, unstructured text and image datasets. For example, economists might wish to detect the presence of economic activity in satellite images or measure the topics or entities mentioned in social media, the ...
【给经济学家的深度学习综述】《Deep Learning for Economists》M Dell [] (2024) http://t.cn/A68qScWM #机器学习# #人工智能# #论文#
Statistical Power Analysis in (Deep) Reinforcement Learning Experiments 前言 不断检查实验结果的统计意义是解决深度强化学习中所谓“再现性危机”的强制性方法步骤之一。本论文将解释随机种子数与统计错误概率之间的关系。对于t检验和boot...MVC控制器与视图传递数据的几种方式 1.后台传值: 2.前台展示 3.效果: ...
and nonlinear behavior. This study develops a unified computational framework for implementing state-of-the-art deep learning model architectures the long short-term memory (LSTM), the gated recurrent unit (GRU), the convolutional neural network (CNN), their variants, and hybridizations, to predict...
Deep reinforcement learning (DRL) can be used to extract deep features that can be incorporated into reinforcement learning systems to enable improved deci
Future projections of transport demands were based on the Shared Socioeconomic Pathway (SSP)36,37,38database. The SSPs39,40,41were created by an international team of climate researchers, economists, and energy systems modelers to generate internally consistent pathways for future worlds across the...
Enter theTrueShares Technology, AI & Deep Learning ETF (LRNZ).LRNZ is an actively managed, concentrated portfolio of global stocks centered around the development and utilization of artificial intelligence and deep learning technologies. The fund holds 20-30 mostly large-cap stocks at a time, all...
For the economists in the room, this is not a new idea; it is calledJevonsParadox. Originated by 19th century British economist William Stanley Jevons, the Jevons Paradox states that improvements in a resource’s efficiency tend to increase – rather than decrease – the overall consumption of ...
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Deep Learning for Economists† Dell, Melissa 2025Journal of Economic Literature doi:10.1257/jel.20241733 AbstractDeep learning provides powerful methods to impute structured information from large-scale, unstructured text and image datasets. For example, economists might wish to detect the presence of ...