Explaining Concept Drift of Deep Learning Models.
Xiaolu WangZhi WangWei ShaoChunfu JiaXiang LiPublished in: CSS (2) (2019)
Keyphrases
- learning models
- concept drift
- data streams
- machine learning
- non stationary
- learning algorithm
- drift detection
- loss function
- semi supervised learning
- change detection
- classification algorithm
- machine learning algorithms
- learning tasks
- conditional random fields
- learning problems
- target concept
- data distribution
- classification models
- pairwise
- concept classes
- data sets
- nearest neighbor
- neural network
- data analysis
- image processing
- computer vision
- data mining