Sublinear Time Approximate Sum via Uniform Random Sampling
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-38768-5_64
Reference8 articles.
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3. Canetti, R., Even, G., Goldreich, O.: Lower bounds for sampling algorithms for estimating the average. Information Processing Letters 53, 17–25 (1995)
4. Dagum, P., Karp, R., Luby, M., Ross, S.: An optimal algorithm for monte carlo estimation. SIAM J. Comput. 29(5), 1484–1496 (2000)
5. Duffield, N., Lund, C., Thorup, M.: Learn more, sample less: control of volume and variance in network measurements. IEEE Trans. on Information Theory 51, 1756–1775 (2005)
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