Gradient Boosted Decision Trees for High Dimensional Sparse Output.
Si SiHuan ZhangS. Sathiya KeerthiDhruv MahajanInderjit S. DhillonCho-Jui HsiehPublished in: ICML (2017)
Keyphrases
- high dimensional
- boosted decision trees
- sparse data
- low dimensional
- decision trees
- dimensionality reduction
- variable selection
- dimension reduction
- high dimensionality
- nearest neighbor
- high dimensional data
- input variables
- high dimension
- logistic regression models
- naive bayes
- data points
- feature space
- additive models
- input data
- sparse coding