Magnetic Induction Measurements as an Example of Evaluating Uncertainty of a Vector Output Quantity.
Adam IdzkowskiPublished in: AUTOMATION (2019)
Keyphrases
- measurement noise
- measurement errors
- measurement error
- magnetic field
- neural network
- inherent uncertainty
- input vector
- uncertain data
- electromagnetic fields
- program synthesis
- concept learning
- belief functions
- machine learning
- vector data
- constructive induction
- inductive learning
- incomplete information
- feature vectors
- version space
- measured data
- possibility theory
- probability theory
- rule induction
- input variables
- input data
- decision trees