LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
Guolin KeQi MengThomas FinleyTaifeng WangWei ChenWeidong MaQiwei YeTie-Yan LiuPublished in: NIPS (2017)
Keyphrases
- highly efficient
- gradient boosting
- decision trees
- loss function
- base learners
- logistic regression
- low cost
- training data
- machine learning algorithms
- naive bayes
- ensemble methods
- machine learning
- low complexity
- base classifiers
- random forests
- meta learning
- training set
- reinforcement learning
- multi class
- pairwise
- single feature
- relational domains
- imitation learning