Machine Learning versus Economic Restrictions: Evidence from Stock Return PredictabilityMachine LearningReturn PredictionNeural NetworksFinancial DistressFintechThis paper shows that investments based on deep learning signals extract profitability from difficult-to-arbitrage stocks and during high limits-to-...
27 Text 3 The concept of man versus machine is at least as old as the industrial revolution,but this phenomenon tends to be most acutely felt during economic downturns and fragile recoveries.And yet,it would be a mistake to think we are right now simply experiencing the painful side of a ...
Road accidents are believed to play an important social, economic, development and public health role claiming more than a million lives yearly worldwide. Therefore, this research is dedicated to analyzing the effects of road accidents on environmental pollution. To achieve the aim of this research...
Applying the LightGBM algorithm in machine learning, we were able to differentiate subjects with ADHD, obesity, problematic gambling, and a control group using all 26 items of the Conners’ Adult ADHD Rating Scales (CAARS-S: S) with a global accuracy of .80; precision (positive predictive ...
and the trained model does not have a strong effect on the economic success of the works in the training data. It is important to underscore that, while training a machine learning model itself may be protected by fair use this does not mean that model outputs will not infringe on the cop...
Public transit in the U.S. has an unsettled future. The onset of the COVID-19 pandemic saw a dramatic decline in transit ridership, with agency operations,
Shows the density plot of the predicted length of stay versus actual length of stay for the classifier model for non-newborns. We used a kernel density estimation with a Gaussian kernel [40] to generate the plot. The best fit regression line to our predictions is shown in green, whereas th...
security. Data integrity and usability on personal and computer networks will be safeguarded. Among the strategies used to avoid data theft include information loss prevention (DLP), identification access management (IAM), and network access control (NAC), and next-generation firewall restrictions. ...
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Although cardiovascular disease (CVD) is the leading cause of death worldwide, over 80% of it is preventable through early intervention and lifestyle changes. Most cases of CVD are detected in adulthood, but the risk factors leading to CVD begin at a you