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Processing hidden Markov models using recurrent neural networks for biological applications
(University of the Western Cape, 2013)
In this thesis, we present a novel hybrid architecture by combining the most popular
sequence recognition models such as Recurrent Neural Networks (RNNs) and Hidden Markov Models (HMMs). Though sequence recognition problems ...