345 citations · 840 across the 61 of their papers we have counts for
5 papers · 1 filter
Latent Tree Analysis
Nevin L. Zhang, Leonard K. M. Poon
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 --…
Topic Browsing for Research Papers with Hierarchical Latent Tree Analysis
Leonard K. M. Poon, Nevin L. Zhang
Academic researchers often need to face with a large collection of research papers in the literature. This problem may be even worse for postgraduate students who are new to a fiel…
Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis
Zhourong Chen, Nevin L. Zhang, Dit-Yan Yeung +1
We are interested in exploring the possibility and benefits of structure learning for deep models. As the first step, this paper investigates the matter for Restricted Boltzmann Ma…
Latent Tree Models for Hierarchical Topic Detection
Peixian Chen, Nevin L. Zhang, Tengfei Liu +3
We present a novel method for hierarchical topic detection where topics are obtained by clustering documents in multiple ways. Specifically, we model document collections using a c…
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis
Chen Fu, Nevin L. Zhang, Bao Xin Chen +5
Objective: To treat patients with vascular mild cognitive impairment (VMCI) using TCM, it is necessary to classify the patients into TCM syndrome types and to apply different treat…