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Statistical and Machine Learning Approaches for Network Analysis
book

Statistical and Machine Learning Approaches for Network Analysis

by Matthias Dehmer, Subhash C. Basak
August 2012
Intermediate to advanced content levelIntermediate to advanced
344 pages
10h 30m
English
Wiley
Content preview from Statistical and Machine Learning Approaches for Network Analysis

References

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4. J. Blasiak, R. Durrett, Random oxford graphs. Stochastic Process. Appl. 115(8), 1257–1278 (2005).

5. R. Pagh, F.F. Rodler. Cuckoo hashing. J. Algorithms 51(2), 122–144 (2004).

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7. M. Drmota, R. Kutzelnigg, A precise analysis of cuckoo hashing. ACM Trans. Algorithms 8(2), (2012).

8. A. Kirsch, M. Mitzenmacher, U. Wieder, More robust hashing: cuckoo hashing with a stash, in Proceedings of the 16th Annual European Symposium on Algorithms, 2008.

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10. R. Kutzelnigg, Random Graphs and Cuckoo Hashing, Südwestdeutscher Verlag für Hochschulschriften, Saarbrücken, 2009.

11. R. Kutzelnigg, A further analysis of cuckoo hashing with a stash and random graphs of excess r. DMTCS 12(3), 81–102 (2010).

12. R. Kutzelnigg, An improved version of cuckoo hashing: average case analysis of construction cost and search operations. Math. Comput. Sci. 3(1), 47–60 (2010).

13. P. Flajolet, D.E. Knuth, ...

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Publisher Resources

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