Analyze specific aspects of ensemble methods

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Assignment:

Ensemble methods harness multiple weak predictors and provide committee predictions to the users. Analyze specific aspects of ensemble methods by doing the following:

If each base-learner is valid and correct with probability p > 1 / 2, what is the probability that a majority vote over L classifiers gives the correct answer? Justify your answer and present all relevant calculations.
In the mixture of experts architecture, different experts use different input representations. Design a gating network for the scenario.

Reference no: EM133399503

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