Learning rules for graph transformations by induction from examples.
Malcolm BersohnPublished in: Comput. Intell. (1986)
Keyphrases
- learning rules
- biologically inspired
- neural network
- learned rules
- hybrid neural
- learning scheme
- graph representation
- artificial neural networks
- boltzmann machine
- back propagation
- graph theoretic
- training examples
- graph matching
- graph theory
- constructive induction
- learning algorithm
- directed graph
- random walk
- graph structure
- graph model
- bipartite graph
- concept learning
- connected components
- structured data
- co occurrence
- decision trees
- decision making
- machine learning