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STOC
2003
ACM
188views Algorithms» more  STOC 2003»
16 years 7 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
TVLSI
2008
106views more  TVLSI 2008»
15 years 6 months ago
Efficient Distributed On-Chip Decoupling Capacitors for Nanoscale ICs
Abstract--A distributed on-chip decoupling capacitor network is proposed in this paper. A system of distributed on-chip decoupling capacitors is shown to provide an efficient solut...
Mikhail Popovich, Eby G. Friedman, Radu M. Secarea...
MA
2010
Springer
135views Communications» more  MA 2010»
15 years 5 months ago
Nonparametric comparison of regression functions
In this work we provide a new methodology for comparing regression functions m1 and m2 from two samples. Since apart from smoothness no other (parametric) assumptions are required...
Ramidha Srihera, Winfried Stute
ISHPC
2003
Springer
15 years 12 months ago
Distribution-Insensitive Parallel External Sorting on PC Clusters
There have been many parallel external sorting algorithms reported such as NOW-Sort, SPsort, and hill sort, etc. They are for sorting large-scale data stored in the disk, but they ...
Minsoo Jeon, Dongseung Kim
115
Voted
KDD
1998
ACM
114views Data Mining» more  KDD 1998»
15 years 11 months ago
Coactive Learning for Distributed Data Mining
Weintroducecoactive learning as a distributed learning approachto data miningin networkedand distributed databases. Thecoactive learningalgorithmsact on independent data sets and ...
Dan L. Grecu, Lee A. Becker