Effective streaming feature selection in dynamic online environments is essential in
numerous applications. However, most existing methods evaluate high-dimensional …

Rectified linear unit (ReLU) deep neural network (DNN) is a classical model in deep
learning and has achieved great success in many applications. However, this model is …

Effective streaming feature selection in dynamic on-line environments is essential in
numerous applications. However, most existing methods evaluate high-dimensional …

We develop a novel framework that adds the regularizers of the sparse group lasso to a
family of adaptive optimizers in deep learning, such as Momentum, Adagrad, Adam …

This work outlines how we prioritize original news, a critical indicator of news quality. By
examining the landscape and lifecycle of news posts on our social media platform, we …

The object of the research is the process of selecting a content recommendation method in
information services. The study's relevance stems from the rapid development of …