How To Speed Up the Search for Cures Through a Change in Probability Theory

"Providing clarity around modern statistical methods will help sponsors bring more cures and meaningful treatments to ...
IEEE

Joint User Activity Detection and Channel Estimation in MC-GFMA Systems by Block Sparse Bayesian Learning With Threshold Optimization

Abstract: Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, ...
IEEE

Sensor Model Identification via Simultaneous Model Selection and State Variable Determination

Abstract: We present a method for the unattended gray-box identification of sensor models commonly used by localization algorithms in the field of robotics. The objective is to determine the most ...
Frontiers

Dynamic Causal Modeling and Parametric Empirical Bayes in Social Neuroscience: Methods, Applications, and Insights

You will be redirected to our submission process. Understanding human behavior and cognition remains one of the most compelling challenges in neuroscience. Despite significant advances, non-invasive ...