The efficacy of support vector machines in modelling deviations from the Beer-Lambert law for optical measurement of lactate.
Mohammadhossein MamoueiKarthik BudidhaNystha BaishyaMeha QassemPanayiotis A. KyriacouPublished in: EMBC (2020)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- light intensity
- support vector machine
- logistic regression
- cross validation
- svm classifier
- neural network
- machine intelligence
- generalization ability
- loss function
- data acquisition
- radial basis function
- classification accuracy
- binary classification
- fiber optic
- generalization bounds
- optical imaging
- optical fiber
- atmospheric turbulence
- measurement model
- decision function
- solid state
- maximum margin
- multi class classification
- linear discriminant analysis
- case based reasoning
- semi supervised
- active learning
- decision trees