Higher-Order Graph Models: From Theoretical Foundations to Machine Learning (Dagstuhl Seminar 21352).
Tina Eliassi-RadVito LatoraMartin RosvallIngo ScholtesPublished in: Dagstuhl Reports (2021)
Keyphrases
- theoretical foundation
- higher order
- machine learning
- theoretical framework
- high order
- natural images
- pattern recognition
- low order
- inductive learning
- pairwise
- machine learning methods
- machine learning algorithms
- data mining
- knowledge acquisition
- markov random field
- information extraction
- natural language processing
- unsupervised learning
- multiscale
- active learning
- artificial intelligence
- computer vision
- decision trees
- semi supervised learning
- text mining
- text classification
- knowledge discovery
- information systems
- database
- machine learning and data mining
- markov models
- computational biology
- genetic algorithm
- object recognition
- inductive logic programming
- feature selection
- learning systems
- supervised learning
- learning environment
- database systems
- similarity measure