Structural Machine Learning with Galois Lattice and Graphs.
Michel LiquiereJean SallantinPublished in: ICML (1998)
Keyphrases
- machine learning
- machine learning methods
- structural information
- learning systems
- machine learning approaches
- galois lattices
- information extraction
- support vector machine
- computer science
- pattern recognition
- lattice structure
- data mining
- natural language processing
- formal concept analysis
- graph mining
- machine learning algorithms
- concept lattice
- artificial intelligence
- learning tasks
- neural network
- graph representation
- computational biology
- inductive learning
- inductive logic programming
- decision trees
- active learning
- knowledge discovery
- knowledge acquisition
- computer vision
- text mining
- graph databases
- feature selection
- learning algorithm
- explanation based learning
- graph theory
- structural features
- graph theoretic
- graph clustering
- subgraph isomorphism
- knowledge representation
- directed graph