Towards Safe Machine Learning for CPS: Infer Uncertainty from Training Data.
Xiaozhe GuArvind EaswaranPublished in: CoRR (2019)
Keyphrases
- machine learning
- training data
- learning algorithm
- decision trees
- supervised learning
- support vector machine
- semi supervised learning
- machine learning methods
- data sets
- handling uncertainty
- test data
- pattern recognition
- uncertain data
- test set
- training set
- classification accuracy
- labeled data
- natural language processing
- data mining
- learning systems
- machine learning algorithms
- learning tasks
- text classification
- computational biology
- information extraction
- artificial intelligence
- knowledge discovery
- computer vision
- active learning
- computational intelligence
- information retrieval
- training instances
- possibility theory
- training process
- inductive logic programming
- incomplete information
- learning problems
- feature selection
- kernel methods
- knowledge representation
- text mining
- knowledge acquisition
- unlabeled data
- naive bayes
- prior knowledge
- class labels
- domain knowledge
- training samples
- expert systems
- belief functions
- unsupervised learning
- domain adaptation
- decision theory
- model selection
- inherent uncertainty
- data analysis