MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees.
ZhenZhe YingZhuoer XuZhifeng LiWeiqiang WangChanghua MengPublished in: CoRR (2022)
Keyphrases
- multi task
- gradient boosting
- decision trees
- base learners
- multi task learning
- learning tasks
- loss function
- information gain
- multi class
- metric learning
- ensemble methods
- machine learning algorithms
- learning problems
- regression problems
- feature selection
- logistic regression
- naive bayes
- base classifiers
- random forests
- training data
- machine learning
- learning algorithm
- maximum margin
- similarity measure
- meta learning
- random forest
- data sets
- transfer learning
- feature space
- classification models
- prior knowledge
- imitation learning