Variance is a measurement of dispersion across a data set, comparing the difference between ... or hold securities. For example, if an investment has a greater variance, it could be considered ...

In the example below, the Institute for Healthcare Improvement identified three vital types of errors discovered during surgical setup. In the most general sense, the advantage of Pareto analysis ...

Abstract: Machine learning (ML) is ever more frequently used as a tool to ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

Abstract: Constant false-alarm rate Block-sparse Bayesian learning (CFAR-BSBL) algorithm is proposed to reduce the computational complexity and improve Direction of arrival (DOA) estimation accuracy ...

Data Loading & Analysis: If the file changes, it reloads the entire dataset. Bayesian Inference: It applies sequential Bayesian inference to estimate the underlying mean of the holographic data.