An empirical evaluation of tinyML architectures for Class-Incremental Continual Learning.
Matteo TremontiDavide Dalle PezzeFrancesco PaissanElisabetta FarellaGian Antonio SustoPublished in: PerCom Workshops (2024)
Keyphrases
- learning algorithm
- incremental learning
- unsupervised learning
- learning process
- inductive inference
- active learning
- learning problems
- learning systems
- learning tasks
- efficient learning
- data mining
- hypothesis space
- learning scenarios
- empirical studies
- knowledge acquisition
- learning objects
- supervised learning
- decision trees
- web services