Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty.
Michael KläsAnna Maria VollmerPublished in: SAFECOMP Workshops (2018)
Keyphrases
- machine learning
- pattern recognition
- support vector machine
- text classification
- supervised machine learning
- machine learning methods
- classification systems
- image classification
- supervised classification
- feature vectors
- machine learning algorithms
- unsupervised learning
- classification accuracy
- machine learning approaches
- computer vision
- automatic classification
- handling uncertainty
- classification rules
- classification process
- inherent uncertainty
- svm classifier
- benchmark datasets
- real world
- decision trees
- feature extraction
- support vector
- active learning
- data mining
- probability theory
- computer science
- preprocessing
- feature space
- classification scheme
- support vector machine svm
- statistical learning
- uncertain data
- multi class
- data driven
- classification algorithm
- knowledge acquisition
- model selection
- semi supervised learning