Labeled data
Definition
Labeled data consists of input samples paired with corresponding ground truth labels, …
Supervised_learning
Empirical risk minimization
Definition
Empirical Risk Minimization (ERM) is the standard objective function for training …
Data annotation
Definition
This critical step involves attaching meaningful metadata to raw data points so that …
Active learning
Definition
Active learning reduces the amount of labeled data required by allowing the model to …
Multiple instance learning
Definition
Multiple Instance Learning (MIL) addresses scenarios where data is grouped into …