Improved Precision and Recall Metric for Assessing Generative Models.
Tuomas KynkäänniemiTero KarrasSamuli LaineJaakko LehtinenTimo AilaPublished in: NeurIPS (2019)
Keyphrases
- precision and recall
- generative model
- evaluation metrics
- information extraction
- probabilistic model
- hierarchical hidden markov models
- em algorithm
- discriminative learning
- mixture model
- discriminative models
- generative and discriminative models
- conditional random fields
- expectation maximization
- hidden variables
- semi supervised
- prior knowledge
- highest precision
- machine learning
- topic models
- object categories
- metric learning
- average precision
- representational power
- bayesian networks
- feature selection