Estimating the class prior and posterior from noisy positives and unlabeled data
Shantanu J. Jain, Martha White, Predrag Radivojac
–Neural Information Processing Systems
Otherwise, itisadded tothe "Dropped" set. Assume 1. (µ0,µ1) 2 res, 2. Xu andXl arecontinuouswithdensitiesf andg, respectively, 3. µ , ,µ 1 arethemeasurescorrespondingto (Xu), (Xl), (X1), respectively,
Neural Information Processing Systems
Mar-23-2026, 13:06:25 GMT
- Country:
- North America > United States > Indiana > Monroe County > Bloomington (0.04)
- Technology:
- Information Technology (0.69)