A Jensen-Shannon Divergence Kernel for Directed Graphs.
Cheng YeRichard C. WilsonEdwin R. HancockPublished in: S+SSPR (2016)
Keyphrases
- directed graph
- jensen shannon divergence
- jensen shannon
- information theory
- information theoretic
- random walk
- feature selection
- mutual information
- directed acyclic graph
- graph structure
- js divergence
- maximum flow
- selection criterion
- undirected graph
- strongly connected
- kernel function
- reinforcement learning
- graph structures
- disjoint paths
- feature space
- machine learning
- data sets
- linear discriminant analysis
- kernel methods
- dimensionality reduction
- high dimensional
- support vector