Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models

5 Apr 2020 Neda Tavakoli

Bidirectional Long Short-Term Memory (LSTM) is a special kind of Recurrent Neural Network (RNN) architecture which is designed to model sequences and their long-range dependencies more precisely than RNNs. This paper proposes to use deep bidirectional LSTM for sequence modeling as an approach to perform locality-sensitive hashing (LSH)-based sequence alignment... (read more)

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