A Survey on Latent Tree Models and Applications

Abstract

In data analysis, latent variables play a central role because they help provide powerful insights into a wide variety of phenomena, ranging from biological to human sciences. The latent tree model, a particular type of probabilistic graphical models, deserves attention. Its simple structure a tree allows simple and efficient inference, while its latent… (More)
DOI: 10.1613/jair.3879

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@article{Mourad2013ASO, title={A Survey on Latent Tree Models and Applications}, author={Rapha{\"{e}l Mourad and Christine Sinoquet and Nevin Lianwen Zhang and Tengfei Liu and Philippe Leray}, journal={J. Artif. Intell. Res.}, year={2013}, volume={47}, pages={157-203} }