Minimal Assumptions for Optimal Serology Classification: Theory and Implications for Multidimensional Settings and Impure Training Data.
Paul N. PatroneRaquel A. BinderCatherine S. ForconiAnn M. MoormannAnthony J. KearsleyPublished in: CoRR (2023)
Keyphrases
- training data
- classification accuracy
- decision trees
- classification models
- class labels
- training samples
- training set
- automatic classification
- classification scheme
- supervised learning
- machine learning
- classification algorithm
- support vector machine
- training process
- binary decision tree
- classification rules
- training dataset
- image classification
- learning algorithm
- labelled data
- support vector machine svm
- machine learning methods
- classification method
- theoretical framework
- feature selection
- feature extraction
- pattern recognition
- data sets
- text classification
- dynamic programming
- unsupervised learning
- robust classification
- classification trees
- roc curve
- machine learning algorithms
- naive bayes
- feature set
- active learning
- feature vectors
- optimal solution
- data mining