Evaluating multi-label classifiers and recommender systems in the financial service sector.
Matthias BogaertJustine LootensDirk Van den PoelMichel BallingsPublished in: Eur. J. Oper. Res. (2019)
Keyphrases
- multi label
- multi label classification
- recommender systems
- class labels
- text categorization
- image classification
- graph cuts
- classifier training
- image annotation
- binary classification
- multi label image annotation
- collaborative filtering
- multi instance
- binary classifiers
- multi label learning
- hierarchical text categorization
- multiple labels
- training data
- text classification
- naive bayes
- classification algorithm
- training examples
- feature selection
- decision trees
- max margin
- semi supervised learning
- labeled data
- neural network
- data sets
- cost sensitive
- multiclass classification
- machine learning
- svm classifier
- training set
- model selection
- multi class classification
- meta level
- ensemble learning
- support vector
- multi class
- protein function prediction
- supervised learning
- automatic text classification
- markov random field