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ICALP
2009
Springer
14 years 3 months ago
Quasirandom Rumor Spreading: Expanders, Push vs. Pull, and Robustness
Abstract Randomized rumor spreading is an efficient protocol to distribute information in networks. Recently, a quasirandom version has been proposed and proven to work equally we...
Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald
SODA
2012
ACM
213views Algorithms» more  SODA 2012»
11 years 11 months ago
Expanders are universal for the class of all spanning trees
Given a class of graphs F, we say that a graph G is universal for F, or F-universal, if every H ∈ F is contained in G as a subgraph. The construction of sparse universal graphs ...
Daniel Johannsen, Michael Krivelevich, Wojciech Sa...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
13 years 7 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
SODA
2008
ACM
112views Algorithms» more  SODA 2008»
13 years 10 months ago
The effect of induced subgraphs on quasi-randomness
One of the main questions that arise when studying random and quasi-random structures is which properties P are such that any object that satisfies P "behaves" like a tr...
Asaf Shapira, Raphael Yuster
BIOINFORMATICS
2011
13 years 16 days ago
libfbi: a C++ implementation for fast box intersection and application to sparse mass spectrometry data
Abstract. This document is a preprint of the following publication: Bioinformatics (2011) 27(8): 1166-1167. Algorithms for sparse data require fast search and subset selection capa...
Marc Kirchner, Buote Xu, Hanno Steen, Judith A. J....