Stream-based Active Learning with Verification Latency in Non-stationary Environments.
Andrea CastellaniSebastian SchmittBarbara HammerPublished in: CoRR (2022)
Keyphrases
- active learning
- class imbalance
- data streams
- real time
- selective sampling
- model checking
- learning strategies
- non stationary
- low latency
- training examples
- sliding window
- machine learning
- response time
- supervised learning
- annotation effort
- semi supervised
- formal verification
- practical problems
- random sampling
- face verification
- experimental design
- labeled data
- active learning strategies
- learning algorithm
- stream processing
- transfer learning
- training set
- learning process
- e learning
- cost sensitive
- feature selection
- signature verification
- asynchronous circuits
- sample selection
- incoming data
- multi class
- unlabeled data
- pool based active learning
- imbalanced data classification