Multi-task support vector machines for feature selection with shared knowledge discovery.
Sen WangXiaojun ChangXue LiQuan Z. ShengWeitong ChenPublished in: Signal Process. (2016)
Keyphrases
- multi task
- feature selection
- support vector
- knowledge discovery
- learning machines
- multi task learning
- maximum margin
- learning tasks
- multitask learning
- support vector machine
- multi class
- gaussian processes
- machine learning
- text categorization
- classification accuracy
- multiple tasks
- learning problems
- data mining
- information gain
- text classification
- kernel function
- model selection
- loss function
- cross validation
- feature set
- association rules
- sparse learning
- training examples
- feature space
- data analysis
- svm classifier
- mutual information
- learning algorithm
- multiple kernel learning
- feature ranking
- hyperparameters
- information retrieval
- e learning
- feature extraction
- pairwise
- data sets