Bayesian Model Averaging with Cross-Validated Models
نویسنده
چکیده
Several variants of Bayesian Model Averaging (BMA) are described and evaluated on a model library of heterogeneous classifiers, and compared to other classifier combination methods. In particular, embedded cross-validation is investigated as a technique for reducing overfitting in BMA.
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