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Documents

  • loglog at hci.iwr.uni-heidelberg.de
    LNCS 2832 - Loglog Counting of Large Cardinalities
    stract, the LogLog algorithm makes it possible to estimate in a single pass and . mized version, super–LogLog, is also engineered and tested on real-life data.
  • loglog guo at eeweb.poly.edu
    Highly Memory-Efficient LogLog Hash for Deep Packet Inspection.pdf
    efficient route lookup scheme, and our LogLog Hash choose a particular bit as a . [5] N. S. Artan, R. Ghosh, Y. Guo, and H. J. Chao, “A 10-Gbps High-Speed.
  • loglog guo at moser-isi.ethz.ch
    The Asymptotic Capacity of Noncoherent Single . - Stefan M. Moser
    Yuan-Zhu Guo and Hsuan-Yin Lin. Department of Electrical . Hsinchu 30010, Taiwan. {guo.yuan-zhu,[email protected] . + log log Es + o(1). References.
  • loglog gag at www.emis.de
    PDF file
    (F GAG log = log 2 ). In this paper we consider some improvements for (3) and ( 4 ). P roofs are similar to the proofs .
  • loglog gag at www.damtp.cam.ac.uk
    Solution 4 - damtp
    DΦ ↦→ d(gΦg−1)+[gAg−1 − dgg−1,gΦg−1] = dgΦg−1 + gdΦg−1 + gΦdg−1 + g[A, . log log. µ2. Λ2+ O (1/ log. µ2. Λ2 ) . (3). Suppose g = g +vg3 +O(g5) = g(1 .
  • loglog at www.lexjansen.com
    Confidence Intervals By Linear or Loglog: You Can Have Them All!
    . SAS 9 has changed the default model from linear to loglog, using the same OUTSURV= option. In addition to loglog model, SAS 9 provides various options.
  • loglog guo at authors.library.caltech.edu
    Gossip vs. Markov Chains, and Randomness-Efficient Rumor .
    Zeyu Guo∗. He Sun† . of O(log n · log log n) random bits almost matches the lower bound of . protocol using O((log(1/α) + log β + log log n) · log n) random .
  • loglog gag at mcnpx.lanl.gov
    gag NUCLEAR - MCNPx
    gag NUCLEAR my PHYSICS A. ELSEVIER . escape from the attention of the reader in log—log plots, often used in the literature to present similar results).
  • loglog at ieeexplore.ieee.org
    Efficient Histogram Estimation for Smart Grid Data . - IEEE Xplore
    Efficient Histogram Estimation for Smart Grid Data. Processing With the Loglog-Bloom-Filter. Yanjun Yao, Sisi Xiong, Hairong Qi, Senior Member, IEEE, Yilu Liu, .
  • loglog at statweb.stanford.edu
    cii, = d (l/x) c dn> = loglog x + Bl + O(l/log x), 187 - Stanford University
    loglog x, showing the equivalent of: Var, 0 2 (l/x) C (w(n) - f&J2 N loglog x. nSection 1 we derive a more precise result: THEOREM 2. Var, w = loglog x + B, .

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