99 citations · 187 across the 23 of their papers we have counts for
4 papers · 1 filter
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence
Jianping Yao, Son N. Tran, Hieu Nguyen +2
The purpose of this paper is to use absorbance data obtained by human tasting and an ultraviolet-visible (UV-Vis) scanning spectrophotometer to predict the attributes of grape juic…
Linear-Time Sequence Classification using Restricted Boltzmann Machines
Son N. Tran, Srikanth Cherla, Artur Garcez +1
Classification of sequence data is the topic of interest for dynamic Bayesian models and Recurrent Neural Networks (RNNs). While the former can explicitly model the temporal depend…
Generalising the Discriminative Restricted Boltzmann Machine
Srikanth Cherla, Son N Tran, Tillman Weyde +1
We present a novel theoretical result that generalises the Discriminative Restricted Boltzmann Machine (DRBM). While originally the DRBM was defined assuming the {0, 1}-Bernoulli d…
Adaptive Feature Ranking for Unsupervised Transfer Learning
Son N. Tran, Artur d'Avila Garcez
Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and eff…