Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better decisions.

Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian ...

1 State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China 2 State Key Laboratory of Mountain Bridge and Tunnel Engineering, ...

Researchers at The University of Texas at Arlington have developed a new computational tool that helps scientists pinpoint proteins known as transcriptional regulators that control how genes turn on ...

Large language models (LLMs) have demonstrated remarkable in-context learning capabilities across various domains, including translation, function learning, and reinforcement learning. However, the ...

1 School of Electrical and Information Technology, Yunnan Minzu University, Kunming, China 2 Yunnan Key Laboratory of Unmanned Autonomous System, Yunnan Minzu University, Kunming, China The shallow ...

Prosecutors are looking into the actions of two other crew members in connection with the sinking of the luxury yacht Bayesian, which caused the deaths of seven people. By Elisabetta Povoledo ...