Predicting cryptocurrency prices is challenging because markets are volatile and events like regulatory changes or ETF ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

A critical failure of the Bearspaw feeder main was identified as low probability in a City of Calgary assessment to prioritize asset inspections, prior to its rupture in June. The revelation came as ...

Abstract: In object detection, particularly within remote sensing images, the quality of selected samples is crucial for the accuracy and robustness of detection models. However, current sampling ...

This technical note covers household surveys with a focus on probability sampling, bias, and survey weights. It explains how households are selected in a representative way from a population for a ...

Confidence in U.S. public opinion polling was shaken by errors in 2016 and 2020. In both years’ general elections, many polls underestimated the strength of Republican candidates, including Donald ...

Financial distress prediction plays an important role in the decision-making process of stock and bond investors, commercial banks and commercial credit adjusters. The effectiveness of financial ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and adopted according to the nature and ...

Sorry for posting many questions, I hope this will help others navigate through building high quality models :) I've trained a two tower model, and checking the possibility of using it directly, but ...