Machine Learning in Measurement Part 1: Error Contribution and Terminology Confusion.
Shervin ShirmohammadiHussein Al OsmanPublished in: IEEE Instrum. Meas. Mag. (2021)
Keyphrases
- machine learning
- measurement error
- error rate
- pattern recognition
- domain specific
- learning algorithm
- artificial intelligence
- inductive learning
- error analysis
- active learning
- machine learning algorithms
- learning systems
- machine learning methods
- error detection
- database
- computer vision
- data mining
- machine learning and data mining
- machine learning approaches
- generalization error
- error compensation
- learning tasks
- error free
- computational intelligence
- natural language processing
- information extraction
- knowledge representation
- natural language
- image sequences
- semi supervised learning
- model selection
- error bounds
- text mining
- support vector machine
- explanation based learning
- computer science
- measurement data
- measurement model
- information systems