Pleasing the advertising oracle: Probabilistic prediction from sampled, aggregated ground truth.
Melinda Han WilliamsClaudia PerlichBrian DalessandroFoster J. ProvostPublished in: ADKDD@KDD (2014)
Keyphrases
- ground truth
- prediction accuracy
- monotonicity constraints
- probabilistic model
- prediction algorithm
- bayesian networks
- information theoretic
- prediction model
- case study
- high quality
- data sets
- prediction error
- ground truth data
- uncertain data
- probabilistic logic
- segmented images
- probabilistic reasoning
- human subjects
- image segmentation
- genetic algorithm