Multi-Task Learning for Generalized Automatic Modulation Classification Under Non-Gaussian Noise With Varying SNR Conditions.
Yu WangGuan GuiTomoaki OhtsukiFumiyuki AdachiPublished in: IEEE Trans. Wirel. Commun. (2021)
Keyphrases
- multi task learning
- signal to noise ratio
- multi task
- classification accuracy
- multiple tasks
- learning tasks
- binary classification tasks
- gaussian processes
- multitask learning
- received signal
- feature vectors
- unsupervised learning
- machine learning
- noise reduction
- multi class
- feature space
- support vector machine
- image classification
- text classification
- transfer learning
- support vector
- learning problems
- feature selection
- missing data
- noise level
- incremental learning
- class labels
- model selection
- feature set
- text mining
- probabilistic model
- learning algorithm