OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

Sparse modeling AI is edging out traditional deep learning to become the technology of choice for product manufacturers and medical researchers because it ticks off all the boxes for modern quality ...

In this paper, we implement anomaly detection on listed firms' accounting items. Using a type of sparse modeling, i.e., Graphical Lasso, we confirm that our accounting fraud detection has achieved a ...

Sparsity is a measured way of optimizing machine learning models by deliberately specifying which nodes are composed of zero values. Sparse models, as opposed to dense models, contain mostly zero ...