Characterizing Uncertainty in Machine Learning for Chemistry.
Esther HeidCharles McGillFlorence H. VermeireWilliam H. Green Jr.Published in: J. Chem. Inf. Model. (2023)
Keyphrases
- machine learning
- handling uncertainty
- machine learning methods
- knowledge acquisition
- artificial intelligence
- information extraction
- feature selection
- pattern recognition
- incomplete information
- explanation based learning
- supervised learning
- inherent uncertainty
- information systems
- learning algorithm
- data mining
- kernel methods
- learning tasks
- supervised machine learning
- decision theory
- expected utility
- application of machine learning methods
- real time
- machine learning algorithms
- support vector machine
- knowledge representation
- data analysis
- learning systems
- text mining
- uncertain data
- computational biology
- natural language processing
- machine learning and data mining
- robust optimization
- decision making
- neural network
- data sets