Risks and Challenges of Training Classifiers for IoT.
Franck LeSeraphin B. CaloDinesh C. VermaPublished in: ICIOT (2021)
Keyphrases
- training set
- test set
- training examples
- training samples
- training data
- lessons learned
- classifier training
- management system
- support vector
- classification algorithm
- linear svm
- risk management
- supervised classification
- svm classifier
- discriminative classifiers
- image classification
- feature selection
- decision boundary
- trained classifiers
- multi layer perceptron
- labeled training data
- supervised training
- classification performances
- linear classifiers
- training process
- risk assessment
- risk analysis
- classification models
- multiple classifiers
- training stage
- naive bayes
- security problems
- active learning
- learning algorithm
- training set size
- real world
- neural network