Constructing Explainable Classifiers from the Start - Enabling Human-in-the Loop Machine Learning.
Vladimir Estivill-CastroEugene GilmoreRené HexelPublished in: Inf. (2022)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning approaches
- machine learning methods
- decision trees
- supervised classification
- feature selection
- support vector
- training data
- data mining
- naive bayes
- learning problems
- knowledge discovery
- information extraction
- text mining
- computational intelligence
- svm classifier
- test set
- classifier combination
- classification models
- statistical methods
- neural network
- learning systems
- roc analysis
- knowledge acquisition
- computer vision
- pattern recognition
- computer science
- training set
- support vector machine
- active learning
- human subjects
- data analysis
- human behavior
- classification algorithm
- natural language
- classification systems
- learning classifier systems
- explanation based learning
- text classification
- training examples