Large-Scale Multi-label Ensemble Learning on Spark.
Jorge Gonzalez-LopezAlberto CanoSebastián VenturaPublished in: TrustCom/BigDataSE/ICESS (2017)
Keyphrases
- multi label
- ensemble learning
- random forest
- multi label classification
- multi label learning
- text categorization
- graph cuts
- image annotation
- generalization ability
- image classification
- class labels
- ensemble methods
- text classification
- binary classification
- learning tasks
- base classifiers
- base learners
- machine learning algorithms
- concept drift
- unlabeled data
- data mining
- training set
- object recognition
- feature selection
- neural network