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20132025
most citedNeural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

99 citations · 187 across the 23 of their papers we have counts for

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Showing 2017 · cs.LGShow all

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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…