Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors.
Samuel AckermanAxel BendavidEitan FarchiOrna RazPublished in: CoRR (2023)
Keyphrases
- machine learning
- experimental data
- artificial intelligence
- knowledge representation
- computational model
- knowledge base
- high level
- cost function
- mathematical model
- automatically generate
- rule sets
- association rule mining
- management system
- probability distribution
- probabilistic model
- objective function
- reinforcement learning
- computer vision