Item response theory in AI: Analysing machine learning classifiers at the instance level.
Fernando Martínez-PlumedRicardo B. C. PrudêncioAdolfo Martínez UsóJosé Hernández-OralloPublished in: Artif. Intell. (2019)
Keyphrases
- machine learning
- instance level
- item response theory
- machine learning algorithms
- machine learning methods
- decision trees
- multiple instance
- artificial intelligence
- learning problems
- feature selection
- student model
- training data
- supervised classification
- support vector
- knowledge representation
- semi supervised
- support vector machine
- semi supervised clustering
- learning tasks
- learning algorithm
- supervised learning
- semi supervised learning
- constrained clustering
- active learning
- training set
- multiple instance learning
- decision boundary
- ontology matching
- training samples
- unsupervised learning
- text mining
- natural language processing