Mahalanobis Distance Metric Learning Algorithm for Instance-based Data Stream Classification.
Jorge Luis Rivero PérezBernardete RibeiroCarlos Morell PérezPublished in: CoRR (2016)
Keyphrases
- mahalanobis distance
- data stream classification
- learning algorithm
- concept drift
- metric learning
- euclidean distance
- noise model
- data streams
- covariance matrix
- distance metric
- data stream mining
- data distribution
- knn
- incremental learning
- machine learning algorithms
- distance function
- learning problems
- active learning
- learning tasks
- supervised learning
- training data
- machine learning
- classification algorithm
- learning process
- pattern recognition
- missing values
- training examples
- change detection
- distance measure
- nearest neighbor
- semi supervised
- upper bound
- multi task
- streaming data
- e learning
- objective function
- reinforcement learning