Progressive Rademacher Sampling

National Conference on Artificial Intelligence, pp.140-145, (2002)

Cited: 11|Views7
EI

Abstract

Sampling can enhance processing of large training example databases, but without knowing all of the data, or the exam- ple producing process, it is impossible to know in advance what size of a sample to choose in order to guarantee good performance. Progressive sampling has been suggested to cir- cumvent this problem. The idea in it is to...More

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