Teaching Uncertainty Quantification in Machine Learning through Use Cases.
Matias Valdenegro-ToroPublished in: CoRR (2021)
Keyphrases
- machine learning
- learning systems
- uncertain data
- natural language processing
- human learning
- computer vision
- feature selection
- pattern recognition
- learning process
- data mining
- handling uncertainty
- higher education
- machine learning algorithms
- supervised learning
- decision trees
- e learning
- neural network
- support vector machine
- information extraction
- computational intelligence
- artificial intelligence
- distance learning
- multimedia
- learning algorithm
- robust optimization
- explanation based learning
- hong kong
- machine learning methods
- learning strategies
- data analysis
- online learning
- text mining
- reinforcement learning
- learning environment
- knowledge representation