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» An Approximation Algorithm for Approximation Rank
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PR
2008
97views more  PR 2008»
15 years 4 months ago
SVD based initialization: A head start for nonnegative matrix factorization
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
Christos Boutsidis, Efstratios Gallopoulos
WAW
2007
Springer
113views Algorithms» more  WAW 2007»
15 years 10 months ago
Local Computation of PageRank Contributions
Motivated by the problem of detecting link-spam, we consider the following graph-theoretic primitive: Given a webgraph G, a vertex v in G, and a parameter δ ∈ (0, 1), compute th...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...
DAGSTUHL
2007
15 years 6 months ago
An Inner/Outer Stationary Iteration for Computing PageRank
We present a stationary iterative scheme for PageRank computation. The algorithm is based on a linear system formulation of the problem, uses inner/outer iterations, and amounts to...
Andrew P. Gray, Chen Greif, Tracy Lau
DAM
2008
135views more  DAM 2008»
15 years 4 months ago
Edge ranking and searching in partial orders
: We consider a problem of searching an element in a partially ordered set (poset). The goal is to find a search strategy which minimizes the number of comparisons. Ben-Asher, Farc...
Dariusz Dereniowski
WWW
2005
ACM
16 years 5 months ago
PageRank as a function of the damping factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor that spreads...
Paolo Boldi, Massimo Santini, Sebastiano Vigna