Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures.
Omran AyoubDavide AndreolettiAleksandra KnapinskaRóza GoscienPiotr LechowiczTiziano LeidiSilvia GiordanoCristina RottondiKrzysztof WalkowiakPublished in: CoRR (2024)
Keyphrases
- incremental learning
- adaptive learning
- concept drift
- batch learning
- data stream classification
- data streams
- incremental learning algorithm
- cerebellar model articulation controller
- learning process
- learning environment
- neural network
- prediction accuracy
- classification algorithm
- change detection
- learning objects
- non stationary
- data distribution
- semi supervised
- e learning
- data mining
- learning resources
- reinforcement learning
- machine learning
- databases