Edge-Based Discovery of Training Data for Machine Learning.
Ziqiang FengShilpa Anna GeorgeJan HarkesPadmanabhan PillaiRoberta L. KlatzkyMahadev SatyanarayananPublished in: SEC (2018)
Keyphrases
- training data
- machine learning
- learning algorithm
- decision trees
- supervised learning
- knowledge discovery
- data sets
- data mining
- semi supervised learning
- support vector machine
- knowledge acquisition
- classification accuracy
- reinforcement learning
- natural language processing
- training set
- computer vision
- domain knowledge
- pattern recognition
- knowledge representation
- inductive learning
- machine learning algorithms
- unlabeled data
- discovery process
- active learning
- learning tasks
- test data
- training examples
- training process
- artificial intelligence
- feature selection
- information extraction
- training dataset
- scientific discovery
- generalization error
- learning problems
- labeled data
- training samples
- kernel methods
- noisy data
- class labels
- test set
- naive bayes
- machine learning approaches
- active contours
- genetic algorithm
- learned from training data