A Data Annotation and Recognition Method Based on Zero Statistical Hypothesis Test and Multi Variable Binary Classification Theory.
Zhang YingChen ChaoWang LeiShuai ZhaoXianglei ZhuPublished in: RCAR (2022)
Keyphrases
- statistical methods
- hypothesis tests
- hypothesis test
- test data
- statistical analysis
- data sets
- training data
- binary classification
- data distribution
- training samples
- multi class
- data mining techniques
- learning problems
- statistical model
- unsupervised learning
- classification accuracy
- pairwise
- objective function
- decision trees
- machine learning
- supervised learning
- upper bound
- support vector machine
- probability distribution
- error rate
- probabilistic model
- active learning
- lower bound
- cost sensitive
- likelihood ratio