Causal Feature Selection for Responsible Machine Learning.
Raha MoraffahParas ShethSaketh VishnubhatlaHuan LiuPublished in: CoRR (2024)
Keyphrases
- feature selection
- machine learning
- text classification
- pattern recognition
- support vector machine
- data mining
- machine learning algorithms
- machine learning methods
- feature space
- model selection
- data analysis
- learning algorithm
- mutual information
- markov blanket
- bayesian networks
- causal models
- text mining
- natural language processing
- decision trees
- causal relationships
- unsupervised learning
- information extraction
- kernel methods
- explanation based learning
- text categorization
- information gain
- inductive learning
- feature set
- multi class
- feature generation
- support vector
- causal networks
- feature extraction
- computer vision
- feature weighting
- discriminative features
- feature construction
- irrelevant features
- data preparation
- machine learning approaches
- feature selection algorithms
- method for feature selection
- feature subset
- microarray data
- high dimensionality
- learning tasks
- statistical methods
- semi supervised learning
- knowledge acquisition
- dimensionality reduction
- knn
- knowledge discovery
- knowledge representation
- classification accuracy
- active learning
- reinforcement learning
- artificial intelligence