1 citations · 1 across the 6 of their papers we have counts for
6 papers
Ontology-based Solution for Building an Intelligent Searching System on Traffic Law Documents
Vuong T. Pham, Hien D. Nguyen, Thinh Le +2
In this paper, an ontology-based approach is used to organize the knowledge base of legal documents in road traffic law. This knowledge model is built by the improvement of ontolog…
Some Theoretical Results Regarding the Polygonal Distribution
Hien D Nguyen, Geoffrey J McLachlan
The polygonal distributions are a class of distributions that can be defined via the mixture of triangular distributions over the unit interval. The class includes the uniform and…
An Introduction to MM Algorithms for Machine Learning and Statistical
Hien D. Nguyen
MM (majorization--minimization) algorithms are an increasingly popular tool for solving optimization problems in machine learning and statistical estimation. This article introduce…
Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Modeling
Hien D. Nguyen, Jeremy F. P. Ullmann, Geoffrey J. McLachlan +5
Calcium is a ubiquitous messenger in neural signaling events. An increasing number of techniques are enabling visualization of neurological activity in animal models via luminescen…
Faster Functional Clustering via Gaussian Mixture Models
Hien D Nguyen, Geoffrey J McLachlan, Jeremy F P Ullmann +1
Functional data analysis (FDA) is an important modern paradigm for handling infinite-dimensional data. An important task in FDA is model-based clustering, which organizes functiona…
Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines
Hien D. Nguyen, Ian A. Wood
Boltzmann machines (BMs) are a class of binary neural networks for which there have been numerous proposed methods of estimation. Recently, it has been shown that in the fully visi…