Projective Latent Interventions for Understanding and Fine-Tuning Classifiers.
Andreas P. HinterreiterMarc StreitBernhard KainzPublished in: iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Keyphrases
- fine tuning
- viable alternative
- fine tuned
- fine tune
- feature set
- decision trees
- training set
- naive bayes
- test set
- classification algorithm
- feature selection
- majority voting
- classification systems
- linear classifiers
- support vector
- training data
- machine learning methods
- latent variables
- supervised classification
- classification method
- class labels
- learning classifier systems
- decision boundary
- machine learning algorithms
- multiple classifiers
- face recognition
- machine learning