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The Ethereal
Latent Tree Analysis
October 01, 2016 ยท Declared Dead ยท ๐ AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Nevin L. Zhang, Leonard K. M. Poon
arXiv ID
1610.00085
Category
cs.LG: Machine Learning
Citations
20
Venue
AAAI Conference on Artificial Intelligence
Last Checked
5 months ago
Abstract
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. This paper gives an overview of the research on latent tree analysis and various ways it is used in practice.
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