A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.
Enrico De SantisAntonello RizziAlireza SadeghianPublished in: Swarm Evol. Comput. (2018)
Keyphrases
- supervised learning
- learning problems
- learning process
- data sets
- unsupervised learning
- pattern recognition
- classification systems
- support vector
- training set
- prior knowledge
- support vector machine
- decision trees
- learning algorithm
- dictionary learning
- inductive inference
- structured output
- classification scheme
- pattern classification
- machine learning
- machine learning algorithms
- model selection
- classification accuracy
- reinforcement learning
- feature extraction
- background knowledge
- classification method
- online learning
- statistical learning
- automatic classification
- pairwise
- training data
- learning phase