Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Background Over the last decade, there has been a global emphasis on prioritising disparities in surgical care in low- and ...

Abstract: Intersection over Union (IoU) is the most popular evaluation metric used in the object detection benchmarks. However, there is a gap between optimizing the commonly used distance losses for ...

Abstract: Unlike "real estate", cars are depreciating assets, which means that their value over time and with use, decreases; because of this very reason, people find it very logical to purchase ...