Comparison-Based Inverse Classification for Interpretability in Machine Learning.
Thibault LaugelMarie-Jeanne LesotChristophe MarsalaXavier RenardMarcin DetynieckiPublished in: IPMU (1) (2018)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- text classification
- decision trees
- machine learning algorithms
- supervised learning
- machine learning approaches
- supervised machine learning
- data mining
- classification accuracy
- supervised classification
- feature selection
- pattern classification
- classification systems
- support vector machine
- computer vision
- learning algorithm
- classification scheme
- classification models
- confusion matrices
- support vector machine svm
- semi supervised learning
- image classification
- active learning
- feature vectors
- feature space
- data analysis
- artificial intelligence
- model selection
- knowledge acquisition
- decision rules
- classification method
- high dimensional
- feature extraction
- rule learning
- data sets