Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective.
Nijat MehdiyevMaxim MajlatowPeter FettkePublished in: CoRR (2023)
Keyphrases
- machine learning
- computer science
- handling uncertainty
- pattern recognition
- predictive modeling
- machine learning algorithms
- active learning
- machine learning approaches
- machine learning methods
- machine learning and data mining
- computational intelligence
- text mining
- natural language processing
- uncertain data
- management science
- computer vision
- artificial intelligence
- viewpoint
- support vector machine
- decision trees
- feature selection
- computational biology
- database
- knowledge acquisition
- learning systems
- explanation based learning
- incomplete information
- inductive logic programming
- uncertain information
- text classification
- supervised machine learning
- bell laboratories
- kernel methods
- semi supervised learning
- supervised learning
- knowledge representation
- bayesian networks
- information systems
- data mining
- real world