The Missing Margin: How Sample Corruption Affects Distance to the Boundary in ANNs.
Marthinus Wilhelmus TheunissenCoenraad MoutonMarelie H. DavelPublished in: SACAIR (2022)
Keyphrases
- artificial neural networks
- using artificial neural networks
- support vector
- distance measure
- artificial neural
- neural nets
- missing data
- missing values
- distance function
- back propagation
- object boundaries
- missing information
- feed forward
- sample points
- objective function
- sample set
- machine learning
- application of artificial neural networks
- maximum margin
- input variables
- information gain
- multilayer perceptron
- support vector machine
- training data
- similarity measure
- image segmentation