Stable clinical prediction using graph support vector machines.
Iman KamkarSunil GuptaCheng LiDinh Q. PhungSvetha VenkateshPublished in: ICPR (2016)
Keyphrases
- support vector
- learning machines
- prediction accuracy
- large margin classifiers
- prediction model
- prediction error
- graph structure
- random walk
- protein function prediction
- patient data
- graph representation
- bladder cancer
- graph theoretic
- weighted graph
- bipartite graph
- directed graph
- structured data
- loss function
- graph theory
- outcome prediction
- feature selection
- prediction algorithm
- clinical practice
- multi class
- logistic regression
- spanning tree
- generalization ability
- hyperplane
- maximum margin
- clinical trials
- connected components
- classification accuracy
- machine learning