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References.md

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References

  1. LeCun, Bottou, et. al. Gradient-Based Learning Applied to Document Recognition, Proceedings of the IEEE, November, 1998.
  2. LeCun, Cortes, Burges. The MNIST Database of handwritten digits
  3. Fokoue, Ernest. Model Selection for Optimal Prediction in Statistical Machine Learning, Notices of the AMS, March, 2020.
  4. Elkan, C. Maximum Likelihood, Logistic Regression, and Stochastic Gradient Training
  5. Logistic Regression for Classification from the Coursera Machine Learning Course.
  6. Sparse Logistic Regression from scikit-learn documentation.
  7. How the backpropagation algorithm works, Chapter 2 in Neural Networks and Deep Learning by Michael Nielsen.
  8. Janssens, Martens. Reflection on modern methods: Revisiting the area under the ROC curve, International Journal of Epidemiology, January, 2020.