## Stem backpropag$ (all stems)

### 9 papers:

- ICML-2015-GaninL #adaptation
- Unsupervised Domain Adaptation by Backpropagation (YG, VSL), pp. 1180–1189.
- ICML-2015-Hernandez-Lobato15b #learning #network #probability #scalability
- Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks (JMHL, RA), pp. 1861–1869.
- ICML-c2-2014-RezendeMW #approximate #generative #modelling #probability
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models (DJR, SM, DW), pp. 1278–1286.
- ICML-2010-GrubbB #composition #learning #network
- Boosted Backpropagation Learning for Training Deep Modular Networks (AG, JAB), pp. 407–414.
- ICEIS-J-2009-NachevHS #fuzzy #network #predict #using
- Insolvency Prediction of Irish Companies Using Backpropagation and Fuzzy ARTMAP Neural Networks (AN, SH, BS), pp. 287–298.
- ICPR-1998-LamOX #classification #learning
- Application of Bayesian Ying-Yang criteria for selecting the number of hidden units with backpropagation learning to electrocardiogram classification (WKL, NO, LX), pp. 1686–1688.
- SAC-1998-AbunawassBDL #algorithm #clustering #convergence #fuzzy
- Fuzzy clustering improves convergence of the backpropagation algorithm (AMA, OSB, MD, WL), pp. 277–281.
- ICPR-1996-Stoyanov #learning #network
- An improved backpropagation neural network learning (IPS), pp. 586–588.
- ML-1990-DietterichHB #case study #comparative
- A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping (TGD, HH, GB), pp. 24–31.