Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Proceedings of the 24th international conference on Machine learning

2007 · 11.7K citations

Computing, Computer Science, Artificial Intelligence +6

Learning to Forget: Continual Prediction with LSTM

Felix A. Gers, Jürgen Schmidhuber, Fred Cummins · Neural Computation · 2000 · 5.4K citations

Computing, Computer Science, Machine Learning +9

Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors

Jennifer A. Hoeting, David Madigan, Adrian E. Raftery et al. · Statistical Science · 1999 · 4.2K citations · Full text

Computing, Data Science, Decision Sciences +15