Feature Importance and Explainability in Quantum Machine Learning.
Luke PowerKrishnendu GuhaPublished in: CoRR (2024)
Keyphrases
- feature importance
- machine learning
- feature selection
- random forest
- machine learning methods
- machine learning algorithms
- quantum computing
- data mining
- learning algorithm
- pattern recognition
- natural language processing
- decision trees
- support vector machine
- semi supervised
- text mining
- relevance feedback
- information extraction
- computer vision
- knowledge acquisition
- supervised learning
- benchmark datasets
- quantum inspired
- quantum computation
- feature set
- unsupervised learning
- learning systems
- learning tasks
- ensemble methods
- high dimensional