Processing hidden Markov models using recurrent neural networks for biological applications
Philosophiae Doctor - PhD === 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 could be potentially modelled through well tr...
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| Language: | en |
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University of the Western Cape
2015
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| Online Access: | http://hdl.handle.net/11394/4525 |