A Multi-task Kernel Learning Algorithm for Survival Analysis.
Zizhuo MengJie XuZhidong LiYang WangFang ChenZhiyong WangPublished in: PAKDD (3) (2021)
Keyphrases
- multi task
- survival analysis
- multi task learning
- learning algorithm
- learning tasks
- learning problems
- machine learning
- gaussian processes
- kernel methods
- multiple kernel learning
- kernel machines
- regression model
- breast cancer
- data mining methods
- transfer learning
- predictive modeling
- machine learning algorithms
- supervised learning
- multi class
- data mining
- logistic regression
- kernel function
- support vector
- evolutionary computing
- learning models
- data mining techniques
- training data
- active learning
- feature selection
- training examples
- support vector machine
- feature space
- labeled data
- image classification
- learning process
- decision trees
- neural network
- high dimensional
- artificial neural networks
- unlabeled data
- theoretical analysis