A Bayesian Framework for Learning Rule Sets for Interpretable Classification.
Tong WangCynthia RudinFinale Doshi-VelezYimin LiuErica KlampflPerry MacNeillePublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- bayesian framework
- rule sets
- prior knowledge
- classification rules
- rule learning
- bayesian methods
- learning algorithm
- pattern recognition
- supervised learning
- learning process
- decision trees
- data mining
- computer vision
- support vector machine
- neural network
- bayesian formulation
- decision rules
- error rate
- generative model
- higher order
- active learning
- image processing
- machine learning
- class labels
- classification algorithm
- probabilistic model
- rough set theory
- feature vectors
- posterior probability
- gaussian process
- feature space
- relational learning