Understanding the Resilience of Neural Network Ensembles against Faulty Training Data.
Abraham ChanNiranjhana NarayananArpan GujaratiKarthik PattabiramanSathish GopalakrishnanPublished in: QRS (2021)
Keyphrases
- neural network ensembles
- training data
- data sets
- test data
- training set
- learning algorithm
- classification accuracy
- test set
- multiple faults
- decision trees
- fault diagnosis
- support vector machine
- training instances
- training samples
- unlabeled data
- labeled data
- domain knowledge
- feature space
- noisy data
- fault tolerance
- artificial intelligence
- machine learning
- real world