1 citations · 2 across the 6 of their papers we have counts for
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stat.ML2020★ 1 cited
The Projected Belief Network Classfier : both Generative and Discriminative
Paul M Baggenstoss
The projected belief network (PBN) is a layered generative network with tractable likelihood function, and is based on a feed-forward neural network (FF-NN). It can therefore share…
stat.ML2020
A Neural Network Based on First Principles
Paul M Baggenstoss
In this paper, a Neural network is derived from first principles, assuming only that each layer begins with a linear dimension-reducing transformation. The approach appeals to the…
stat.ML2016
Kernel-based Generative Learning in Distortion Feature Space
Bo Tang, Paul M. Baggenstoss, Haibo He
This paper presents a novel kernel-based generative classifier which is defined in a distortion subspace using polynomial series expansion, named Kernel-Distortion (KD) classifier.…