Model Compression - Cornell University
a nonparametric bootstrap approach. For each attribute, a value is selected uniformly at random from the multiset (bag) of all valuesfor thatattributepresentinthetrain set.1 When the attribute values are generated independently, all conditional structure is lost and the pseudo examples are generated from a distribution that is usually much broader
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