Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection.
Xiwen ZhangTolunay SeyfiShengtai JuSharan RamjeeAly El GamalYonina C. EldarPublished in: SPAWC (2019)
Keyphrases
- deep learning
- sample selection
- active learning
- deep architectures
- restricted boltzmann machine
- unsupervised learning
- training data
- machine learning
- unsupervised feature learning
- signal to noise ratio
- supervised learning
- training set
- selection strategy
- deep belief networks
- support vector machine
- svm classification
- weakly supervised
- mental models
- multi class
- training examples
- training samples
- information extraction
- natural images
- online learning
- learning algorithm
- text classification
- neural network
- data sets