Browsing by Subject "Recurrent neural networks"
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A comparative study on filtering protein secondary structure prediction
(2012)Filtering of Protein Secondary Structure Prediction (PSSP) aims to provide physicochemically realistic results, while it usually improves the predictive performance. We performed a comparative study on this challenging ...
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Protein secondary structure prediction with bidirectional recurrent neural nets: Can weight updating for each residue enhance performance?
(2010)Successful protein secondary structure prediction is an important step towards modelling protein 3D structure, with several practical applications. Even though in the last four decades several PSSP algorithms have been ...
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Training bidirectional recurrent neural network architectures with the scaled conjugate gradient algorithm
(2016)Predictions on sequential data, when both the upstream and downstream information is important, is a difficult and challenging task. The Bidirectional Recurrent Neural Network (BRNN) architecture has been designed to deal ...