Explaining The Behavior Of Black-Box Prediction Algorithms With Causal Learning.
Numair SaniDaniel MalinskyIlya ShpitserPublished in: CoRR (2020)
Keyphrases
- black box
- learning algorithm
- black boxes
- learning process
- noise tolerant
- prediction algorithm
- online learning
- supervised learning
- prediction accuracy
- white box
- markov blanket
- rule extraction
- state transition
- inductive learning
- learning tasks
- optimization problems
- computational intelligence
- computational complexity
- reinforcement learning
- test cases
- autonomous robots
- error rate
- hybrid systems
- data model
- integration testing
- data sets