Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection.
Xiwen ZhangTolunay SeyfiShengtai JuSharan RamjeeAly El GamalYonina C. EldarPublished in: CoRR (2019)
Keyphrases
- deep learning
- sample selection
- deep architectures
- active learning
- restricted boltzmann machine
- training data
- signal to noise ratio
- unsupervised learning
- machine learning
- support vector machine
- unsupervised feature learning
- training examples
- deep belief networks
- weakly supervised
- training set
- data sets
- supervised learning
- selection strategy
- natural images
- mental models
- meta learning
- decision trees