Constellations and the Unsupervised Learning of Graphs.
Boyan BonevFrancisco EscolanoMiguel Angel LozanoPablo SuauMiguel CazorlaWendy AguilarPublished in: GbRPR (2007)
Keyphrases
- unsupervised learning
- semi supervised
- structured objects
- supervised learning
- graph theoretic
- dimensionality reduction
- graph matching
- object recognition
- machine learning
- series parallel
- data clustering
- graph theory
- reinforcement learning
- graph kernels
- graph databases
- graph model
- model selection
- expectation maximization
- graph structure
- weighted graph
- neural network
- case study
- spanning tree
- feature selection
- graph clustering
- graph structures
- subgraph isomorphism
- text classification