Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation.
Lorenzo LiviAntonello RizziAlireza SadeghianPublished in: CoRR (2014)
Keyphrases
- dissimilarity representation
- structural pattern recognition
- training data
- pattern recognition
- training set
- shannon entropy
- graph representation
- labeled graphs
- random walk
- information theory
- graph structure
- decision trees
- mutual information
- labeled training data
- structured data
- statistical pattern recognition
- directed graph
- test set
- machine learning algorithms
- supervised learning
- support vector
- neural network
- training examples
- graph matching
- graph theory
- dissimilarity measure
- information theoretic
- bipartite graph
- classification algorithm
- training samples
- feature set
- feature selection
- graph mining
- graph databases
- training instances
- unlabeled samples
- labeling process
- query processing
- learning algorithm