Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification.
Alberto CarlevaroTeodoro Alamo CantareroFabrizio DabbeneMaurizio MongelliPublished in: CoRR (2024)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- support vector machine
- supervised classification
- feature selection
- supervised machine learning
- decision trees
- machine learning algorithms
- support vector
- supervised learning
- text classification
- model selection
- classification accuracy
- classification scheme
- computer science
- automatic classification
- parameter free
- classification systems
- machine learning approaches
- rule learning
- classification algorithm
- computationally efficient
- pattern classification
- feature extraction
- classification method
- artificial intelligence
- learning algorithm
- learning problems
- confidence estimates
- semi supervised learning
- roc analysis
- machine learning models
- classification models
- inductive learning
- kernel methods
- classification rules
- benchmark datasets
- neural network
- feature set
- text mining
- semi supervised
- information extraction
- high dimensional
- training set
- reinforcement learning
- data mining