Model Learning with Personalized Interpretability Estimation (ML-PIE).
Marco VirgolinAndrea De LorenzoFrancesca RandoneEric MedvetMattias WahdePublished in: CoRR (2021)
Keyphrases
- prior knowledge
- learning mechanism
- learning scheme
- probabilistic model
- maximum likelihood
- computational model
- experimental data
- maximum likelihood estimation
- learning process
- supervised learning
- parameter estimation
- high level
- learning systems
- theoretical framework
- decision theoretic
- prediction accuracy
- connectionist networks
- automatically learned
- hidden variables
- theoretical analysis
- online learning
- objective function
- reinforcement learning