论文原文解读汇总

以下是自己对一些论文原文的解读:
机器学习:
《XGBoost: A Scalable Tree Boosting System》
《CatBoost:gradient boosting with categorical features support》-2018
《LightGBM:A Highly Efficient Gradient Boosting Decision Trees》
主流剪枝算法原理与代码实现汇总
《Improved Use of Continuous Attributes in C4.5》

NLP:
《Latent Dirichlet Allocation》-2003
《Probabilistic Latent Semantic Indexing》

神经网络论文解读：
《Learning representations by back-propagating errors》
《finding Structure in time》
《Backpropagation Through Time:What it Does and How to Do it》