The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

In this article, we introduce a neural network model for regression in which prediction uncertainty is quantified by Gaussian random fuzzy numbers (GRFNs), a newly introduced family of random fuzzy ...

“It’s an AI model that can be trained on the dataset to predict outcomes with transparency and accuracy compared to traditional statistical models,” she added.

Lean security with automated exposure and threat detection helps River Island protect 200+ stores and e-commerce without growing the team.

A python library to build Model Trees with Linear Models at the leaves. linear-tree provides also the implementations of LinearForest and LinearBoost inspired from these works.