A neural network boosting regression model based on XGBoost

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.5K citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Gradient-based learning applied to document recognition

Yann LeCun, Léon Bottou, Yoshua Bengio et al. · Proceedings of the IEEE · 1998 · 56.5K citations · Full text

Engineering, Machine Learning, Multilayer Neural Networks +17

Learning representations by back-propagating errors

David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 29.7K citations

Engineering, Machine Learning, Feature Learning +7

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 27.3K citations · Full text

Engineering, Machine Learning, Data Mining +13

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997 · 19.8K citations

Mathematical Programming, Decision-theoretic Generalization, Engineering +13