A Husqvarna researcher developed a fast, interpretable PV hotspot-detection method using IR thermography and Lab* color-space features instead of heavy neural networks, achieving up to 95.2% accuracy ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In an era of rapidly growing multimedia data, the need for robust and efficient classification systems has become critical, specifically the identification of class names and poses or styles. This ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...

The probability is calculated by means of Kernel Density Estimation (KDE). The probability for each class does not use all variables, but only those that are relevant for each specific class. From the ...

Witnesses reported seeing the tornado-like phenomenon hit the Bayesian, a sailing yacht that sank off the coast of Sicily on Monday. By Eve Sampson What caused the sinking on Monday of a sailing yacht ...

Abstract: This study aims addresses the challenge of gesture recognition in smart sports stadiums through the fusion enhancement of YOLOv5 and Copula Bayesian Classifier algorithm. By leveraging ...

Abstract: Most employed Bayesian algorithms, such as quadratic discriminant analysis, linear discriminant analysis or naive Bayes, rely on Gaussian assumptions. In this letter we introduce a novel ...