Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error.
Tyler CodyLaura J. FreemanPublished in: CoRR (2023)
Keyphrases
- classification error
- metric learning
- mahalanobis metric
- distance metric
- semi supervised
- learning tasks
- pairwise
- multi task
- class labels
- training set
- distance function
- training samples
- decision rules
- generalization error
- supervised learning
- learning algorithm
- dimensionality reduction
- feature space
- hyperparameters
- data sets
- semi supervised learning
- cross validation
- text classification
- base classifiers
- data mining