Stratifying cancer patients based on multiple kernel learning and dimensionality reduction.
Thanh Trung GiangThanh-Phuong NguyenDang Hung TranPublished in: KSE (2017)
Keyphrases
- multiple kernel learning
- cancer patients
- dimensionality reduction
- kernel learning
- feature selection
- clinical data
- breast cancer
- kernel methods
- clinical trials
- linear combination
- kernel function
- learning problems
- principal component analysis
- prostate cancer
- high dimensional
- semi supervised learning
- feature extraction
- low dimensional
- pattern recognition
- high dimensionality
- multi task
- treatment planning
- high dimensional data
- feature space
- unsupervised learning
- binary classification
- data points
- metric learning
- multiple features
- semi supervised
- support vector
- learning tasks
- raw data
- supervised learning
- kernel matrix
- knowledge discovery
- face recognition