%0 Journal Article %1 article %A Srivastava, Nitish %A Hinton, Geoffrey %A Krizhevsky, Alex %A Sutskever, Ilya %A Salakhutdinov, Ruslan %D 2014 %J Journal of Machine Learning Research %K final thema:neural_attentional_rating_regression %P 1929-1958 %T Dropout: A Simple Way to Prevent Neural Networks from Overfitting %V 15

@article{article, added-at = {2020-01-17T03:16:09.000+0100}, author = {Srivastava, Nitish and Hinton, Geoffrey and Krizhevsky, Alex and Sutskever, Ilya and Salakhutdinov, Ruslan}, biburl = {https://www.bibsonomy.org/bibtex/2fa82c33b6f89d3d36e169522735a5ac5/simon_diener}, description = {A paper describing the application and the effects of dropout on neural networks.}, interhash = {bdad866eb5fd8994c2aeae46af6def20}, intrahash = {fa82c33b6f89d3d36e169522735a5ac5}, journal = {Journal of Machine Learning Research}, keywords = {final thema:neural_attentional_rating_regression}, month = {06}, pages = {1929-1958}, timestamp = {2020-01-17T03:16:09.000+0100}, title = {Dropout: A Simple Way to Prevent Neural Networks from Overfitting}, volume = 15, year = 2014 }