Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach.
Divish RengasamyJimiama Mafeni MaseMercedes Torres TorresBenjamin RothwellDavid A. WinklerGrazziela P. FigueredoPublished in: CoRR (2021)
Keyphrases
- feature importance
- machine learning
- inference process
- feature selection
- random forest
- fuzzy petri net
- fuzzy integral
- fuzzy modeling
- fuzzy sets
- bayesian reasoning
- fuzzy logic
- modus ponens
- data mining
- pattern recognition
- active learning
- machine learning algorithms
- machine learning methods
- computational intelligence
- fuzzy numbers
- relevance feedback
- fuzzy rules
- fuzzy clustering
- learning algorithm
- decision trees
- support vector machine
- membership functions
- data fusion
- text classification
- soft computing
- bayesian networks
- computer vision
- information fusion
- semi supervised learning
- unsupervised learning
- expert systems
- evidential reasoning
- image classification
- information extraction
- text mining