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Found 2 papers, 1 papers with code
Achieving Online Regression Performance of LSTMs with Simple RNNs
Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to generalize nonlinear temporal dependencies.
An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive Learning
We study adaptive (or online) nonlinear regression with Long-Short-Term-Memory (LSTM) based networks, i. e., LSTM-based adaptive learning.
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