On the use of causal feature selection in the context of machine-learning indirect test.
Manuel J. BarraganGildas LégerFlorent CiliciEstelle Lauga-LarrozeSylvain BourdelSalvador MirPublished in: DATE (2019)
Keyphrases
- machine learning
- feature selection
- text classification
- knowledge acquisition
- contextual information
- machine learning methods
- computer science
- mutual information
- data mining
- feature engineering
- unsupervised feature selection
- causal reasoning
- machine learning approaches
- model selection
- feature set
- knn
- neural network
- bayesian networks
- test cases
- genetic algorithm
- artificial intelligence
- fold cross validation
- computer vision
- feature selection algorithms
- inductive learning
- test data
- knowledge discovery
- machine learning algorithms
- reinforcement learning
- support vector
- pattern recognition
- natural language
- data analysis
- active learning
- text mining
- information extraction