Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness.
Jiawang BaiYiming LiJiawei LiYong JiangShu-Tao XiaPublished in: CoRR (2019)
Keyphrases
- decision trees
- machine learning
- theoretical analysis
- compression ratio
- compression algorithm
- decision tree induction
- image compression
- random forest
- data compression
- machine learning algorithms
- prediction accuracy
- compression scheme
- decision rules
- hyperspectral image compression
- predictive accuracy
- logistic regression
- training data
- data sets
- data mining methods
- bitstream
- classification models
- classification rules
- decision tree learning