Minimization of decision tree depth for multi-label decision tables.
Mohammad AzadMikhail Ju. MoshkovPublished in: GrC (2014)
Keyphrases
- decision table
- multi label
- decision trees
- multi label classification
- text categorization
- decision rules
- graph cuts
- variable precision
- rough set theory
- image classification
- random forest
- binary classification
- image annotation
- text classification
- multi instance
- class labels
- rough sets
- naive bayes
- classification error
- classification rules
- attribute values
- machine learning algorithms
- data mining
- training set
- image segmentation
- feature selection
- prediction accuracy
- unsupervised learning
- genetic programming
- text mining
- knn
- pairwise
- machine learning