Abstract: We study the problem of learning graphs in Gaussian graphic models by assuming that the underlying precision matrix has a "low-rank and diagonal" (LRaD) structure. This assumption enjoys a ...

Abstract: Supervised learning has revolutionized the concept of personalization in treatment with the development of Precision Medicine. This review aims to provide a systematic analysis of the ...