Classification Under Ambiguity: When Is Average-K Better Than Top-K?
Titouan LorieulAlexis JolyDennis E. ShashaPublished in: CoRR (2021)
Keyphrases
- classification accuracy
- pattern recognition
- image classification
- classification systems
- object classification
- text classification
- feature space
- support vector
- preprocessing
- feature selection
- supervised learning
- unsupervised learning
- supervised classification
- classification scheme
- pattern classification
- machine learning methods
- classification algorithm
- class labels
- data mining
- feature extraction
- decision rules
- model selection
- user defined
- database systems
- query processing
- feature vectors
- machine learning