Explaining Random Forests Using Bipolar Argumentation and Markov Networks.
Nico PotykaXiang YinFrancesca ToniPublished in: AAAI (2023)
Keyphrases
- random forests
- markov networks
- graphical models
- maximum likelihood
- random forest
- first order logic
- belief propagation
- logistic regression
- decision trees
- bayesian inference
- hidden variables
- ensemble methods
- conditional random fields
- bayesian networks
- machine learning algorithms
- probabilistic model
- document classification
- markov random field
- inductive logic programming
- conditional probabilities
- posterior probability
- maximum a posteriori
- stereo matching
- image segmentation
- machine learning
- prediction accuracy
- text categorization
- probability distribution
- information retrieval