= Weighted majority algorithm (machine learning)
{wiki=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.
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