1. Bing Xu, T. C., Wang, Naiyan, & Li, M. (2015). Empirical evaluation of rectified activations in convolutional network. CoRR, abs/1505.00853.
2. Boureau, Y.-L., Ponce, J., & LeCun, Y. (2010). A theoretical analysis of feature pooling in visual recognition. In Proceedings of the 27th international conference on machine learning (pp. 111–118).
3. Boureau, Y.-L., Roux, N. L., Bach, F., Ponce, J., & LeCun, Y. (2011). Ask the locals: multi-way local pooling for image recognition. In 2011 IEEE international conference on computer vision (pp. 2651–2658).
4. Bagging predictors;Breiman;Machine Learning,1996
5. Cai, M., Shi, Y., & Liu, J. (2014). Stochastic pooling maxout networks for low-resource speech recognition. In 2014 IEEE international conference on acoustics, speech and signal processing (pp. 3266–3270).