Identification of Spurious Labels in Machine Learning Data Sets using N-Version Validation.
Malte MuesSebastian GerardFalk HowarPublished in: ITSC (2020)
Keyphrases
- machine learning
- data sets
- training data
- machine learning algorithms
- training set
- machine learning methods
- benchmark data sets
- pairwise
- real world data sets
- active learning
- data mining
- pattern recognition
- computational biology
- feature selection
- computational intelligence
- data analysis
- information extraction
- neural network
- high dimensional data
- semi supervised learning
- learning systems
- learning tasks
- inductive logic programming
- supervised classification
- knowledge discovery
- knowledge representation
- model selection
- knowledge acquisition
- text classification
- data sources
- computer science
- reinforcement learning
- decision trees
- computer vision
- learning algorithm
- explanation based learning
- genetic algorithm
- supervised classifiers