Unifying and extending Precision Recall metrics for assessing generative models.
Benjamin SykesLoïc SimonJulien RabinPublished in: CoRR (2024)
Keyphrases
- precision recall
- generative model
- precision and recall
- average precision
- correlation coefficient
- evaluation metrics
- probabilistic model
- discriminative learning
- prior knowledge
- posterior probability
- conditional random fields
- discriminative models
- scoring function
- topic models
- semi supervised
- em algorithm
- highly correlated
- high dimensional
- learning algorithm
- semi supervised learning
- expectation maximization