Instance-Based Classification through Hypothesis Testing.
Zengyou HeChaohua ShengYan LiuQuan ZouPublished in: CoRR (2019)
Keyphrases
- hypothesis testing
- likelihood ratio
- statistical tests
- decision trees
- robust statistical
- machine learning
- minimum probability of error
- likelihood ratio test
- machine learning algorithms
- feature selection
- false discovery rate
- nearest neighbour
- probability distribution
- benchmark datasets
- confidence intervals
- graphical models
- supervised learning
- instance based learning
- test statistic
- feature space
- objective function
- reinforcement learning
- bayesian networks