题目： Latent Tree Analysis
报告人： 张连文 教授 香港科技大学
摘要：Latent tree analysis seeks to model the correlations among a set of random variables using a tree of latent variables. It was proposed as an improvement to latent class analysis — a method widely used in social sciences and medicine to identify homogeneous subgroups in a population. It provides new and fruitful perspectives on a number of machine learning areas, including cluster analysis, topic detection, and deep probabilistic modeling. In this talk, I will give an overview of the research on latent tree analysis and various ways it is used in practice.