Multi-task learning for IoT traffic classification: A comparative analysis of deep autoencoders.
Huiyao DongIgor V. KotenkoPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- multi task learning
- multi task
- multiple tasks
- decision trees
- binary classification tasks
- feature vectors
- classification accuracy
- gaussian processes
- image classification
- learning tasks
- cross validation
- theoretical analysis
- text classification
- multitask learning
- feature extraction
- metric learning
- multi label image annotation
- learning problems
- class labels
- support vector machine
- support vector
- high order
- inductive learning
- classification models
- learning models
- learning algorithm
- machine learning algorithms
- supervised learning
- training set
- feature space
- feature selection