Learning Explainable Models Using Attribution Priors.
Gabriel G. ErionJoseph D. JanizekPascal SturmfelsScott M. LundbergSu-In LeePublished in: CoRR (2019)
Keyphrases
- learning algorithm
- prior knowledge
- parametric models
- hidden variables
- learning models
- online learning
- learning process
- structured prediction
- unsupervised learning
- learning rules
- learning problems
- supervised learning
- probabilistic model
- dynamic bayesian networks
- accurate models
- inductive inference
- latent variable models
- data sets
- neural nets
- bayesian framework
- complex systems
- learning systems
- multi agent
- neural network