99 citations · 187 across the 23 of their papers we have counts for
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cs.LG2017
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…
cs.AI2017★ 5 cited
Unsupervised Neural-Symbolic Integration
Son N. Tran
Symbolic has been long considered as a language of human intelligence while neural networks have advantages of robust computation and dealing with noisy data. The integration of ne…
cs.AI2017★ 1 cited
Propositional Knowledge Representation and Reasoning in Restricted Boltzmann Machines
Son N. Tran
While knowledge representation and reasoning are considered the keys for human-level artificial intelligence, connectionist networks have been shown successful in a broad range of…