On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
Francisco CharteAntonio J. RiveraMaría José del JesusFrancisco HerreraPublished in: HAIS (2016)
Keyphrases
- sampling strategy
- multi label
- multilabel classification
- multi label classification
- classifier training
- instance based learning
- text categorization
- class labels
- graph cuts
- image classification
- training data
- feature set
- inter related
- lazy learning
- sampling methods
- feature selection
- benchmark datasets
- random walker
- naive bayes
- text classification
- ensemble methods
- nearest neighbor
- decision trees
- machine learning methods
- training samples
- semi supervised
- probabilistic model
- prior knowledge
- training set