Quantifying Uncertainty in Deep Learning Classification with Noise in Discrete Inputs for Risk-Based Decision Making.
Maryam KheirandishShengfan ZhangDonald G. CatanzaroValeriu CruduPublished in: CoRR (2023)
Keyphrases
- deep learning
- decision making
- unsupervised learning
- machine learning
- restricted boltzmann machine
- decision trees
- pattern recognition
- image processing
- support vector
- feature vectors
- supervised learning
- weakly supervised
- decision support
- text classification
- image classification
- multi class
- support vector machine
- training set
- decision support system
- decision makers
- feature extraction
- deep architectures