Stream-Based Active Learning with Verification Latency in Non-stationary Environments.
Andrea CastellaniSebastian SchmittBarbara HammerPublished in: ICANN (4) (2022)
Keyphrases
- active learning
- class imbalance
- data streams
- learning strategies
- machine learning
- low latency
- supervised learning
- learning algorithm
- formal verification
- sliding window
- model checking
- relevance feedback
- response time
- stream processing
- stream data
- semi supervised
- pool based active learning
- non stationary
- verification method
- prefetching
- random sampling
- practical problems
- asynchronous circuits
- batch mode
- selective sampling
- experimental design
- streaming data
- cost sensitive
- training examples
- learning process
- sample selection
- annotation effort
- data sets
- imbalanced data classification
- binary classification
- transfer learning
- pairwise
- training set
- neural network