Keyphrases
Sensor-based
100%
Overall Accuracy
100%
One-class Support Vector Machine (OCSVM)
100%
Reject Option
100%
Sampling numbers
100%
Photonics
50%
Support Vector Machine
50%
Low Dose Rate
50%
Multi-class
50%
Surrogate Loss
50%
Surrogate Loss Function
50%
Prediction Accuracy
50%
Glucose Level
50%
Abstaining
50%
Cost Function
50%
Biomedical Parameters
50%
Real-world Problems
50%
Posterior Probability
50%
Multi-class Classification
50%
Remote Sensing
50%
Patients with Diabetes Mellitus
50%
Rejection Cost
50%
Derivates
50%
Bayes Rule
50%
General Training
50%
Misprediction
50%
Thentest
50%
Machine Structure
50%
Training Algorithm
50%
Medical Sensing
50%
Sensing Field
50%
High Rejection
50%
Classification Process
50%
Labeled Sample
50%
Non-invasive Way
50%
Rejection Rate
50%
Engineering
Biosensor
100%
Decision Rule
100%
Support Vector Machine
100%
Photonics
33%
Posterior Probability
33%
Loss Function
33%
Cost Function
33%
Real Life
33%
Machine Structure
33%
Classification Process
33%
Multiclass Classification
33%
Computer Science
Support Vector Machine
100%
training algorithm
50%
Bayes Decision Rule
50%
Multiclass Classification
50%
Posterior Probability
50%
Classification Process
50%