Weighted majority algorithm (machine learning)

The Weighted Majority Algorithm is a machine learning framework used for combining multiple hypotheses or classifiers to make predictions, particularly in the context of online learning. It is particularly well-suited for scenarios where data arrives sequentially, allowing the model to adapt to changes over time. ### Key Features of the Weighted Majority Algorithm: 1. **Ensemble Learning**: The algorithm works with a set of classifiers (or experts), each of which makes individual predictions.