Machine Learning in Measurement Part 2: Uncertainty Quantification.
Hussein Al OsmanShervin ShirmohammadiPublished in: IEEE Instrum. Meas. Mag. (2021)
Keyphrases
- machine learning
- measurement error
- information extraction
- computer vision
- decision trees
- handling uncertainty
- machine learning algorithms
- machine learning methods
- pattern recognition
- explanation based learning
- data mining
- feature selection
- inductive learning
- active learning
- unsupervised learning
- computational intelligence
- text classification
- quantitative evaluation
- learning tasks
- text mining
- knowledge acquisition
- support vector machine
- knowledge representation
- reinforcement learning
- database
- incomplete information
- inductive logic programming
- data streams
- statistical learning
- belief functions
- artificial intelligence
- learning algorithm
- data sets