Bayesian Classification and Feature Selection from Finite Data Sets

    UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence, pp. 89-97, 2000.

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    Keywords:
    feature selectionbayesian classificationfeature subsetfinite data setsnp procedureMore(11+)

    Abstract:

    Feature selection aims to select the smallest subset of features for a specified level of performance. The optimal achievable classification performance on a feature subset is summarized by its Receiver Operating Curve (ROC). When infinite data is available, the Neyman-Pearson (NP) design procedure provides the most efficient way of obtai...More

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