192 citations · 426 across the 48 of their papers we have counts for
Showing 2017Show all
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stat.ML2017★ 2 cited
Deep Gaussian Mixture Models
Cinzia Viroli, Geoffrey J. McLachlan
Deep learning is a hierarchical inference method formed by subsequent multiple layers of learning able to more efficiently describe complex relationships. In this work, Deep Gaussi…
stat.CO2017★ 4 cited
Iteratively-Reweighted Least-Squares Fitting of Support Vector Machines: A Majorization--Minimization Algorithm Approach
Hien D. Nguyen, Geoffrey J. McLachlan
Support vector machines (SVMs) are an important tool in modern data analysis. Traditionally, support vector machines have been fitted via quadratic programming, either using purpos…
stat.ME2017
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…