Don't guess what's true: choose what's optimal. A probability transducer for machine-learning classifiers.
Kjetil DyrlandAlexander Selvikvåg LundervoldP. G. L. Porta ManaPublished in: CoRR (2023)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- supervised classification
- feature selection
- machine learning approaches
- expected loss
- active learning
- linear classifiers
- class membership
- optimality criterion
- training data
- learning algorithm
- randomized trees
- inductive learning
- naive bayes
- computer science
- support vector machine
- data analysis
- probability distribution
- dynamic programming
- data mining
- artificial intelligence
- optimal solution
- classification systems
- lower bound
- meta learning
- worst case
- inductive logic programming
- statistical methods
- svm classifier
- information extraction
- natural language processing
- training samples