no code implementations • 16 May 2020 • N. Mert Vural, Fatih Ilhan, Selim F. Yilmaz, Salih Ergüt, Suleyman S. Kozat
Recurrent Neural Networks (RNNs) are widely used for online regression due to their ability to generalize nonlinear temporal dependencies.
no code implementations • 7 Mar 2020 • N. Mert Vural, Selim F. Yilmaz, Fatih Ilhan, Suleyman S. Kozat
We investigate online nonlinear regression with continually running recurrent neural network networks (RNNs), i. e., RNN-based online learning.
no code implementations • 25 Nov 2019 • N. Mert Vural, Hakan Gokcesu, Kaan Gokcesu, Suleyman S. Kozat
To construct our algorithm, we introduce a new expert advice algorithm for the multiple-play setting.
1 code implementation • 22 Oct 2019 • N. Mert Vural, Salih Ergüt, Suleyman S. Kozat
We study adaptive (or online) nonlinear regression with Long-Short-Term-Memory (LSTM) based networks, i. e., LSTM-based adaptive learning.