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» Magnitude-preserving ranking algorithms
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ICML
2004
IEEE
16 years 7 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
16 years 6 months ago
Ranking distributed probabilistic data
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Feifei Li, Ke Yi, Jeffrey Jestes
PPSN
2004
Springer
15 years 11 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
156
Voted
CIAC
2010
Springer
278views Algorithms» more  CIAC 2010»
15 years 11 months ago
Maximizing PageRank with new Backlinks
For a given node t in a directed graph G(VG, EG) and a positive integer k we study the problem of computing a set of k new links pointing to t – so called backlinks to t – prod...
Martin Olsen
BMCBI
2005
144views more  BMCBI 2005»
15 years 6 months ago
GeneRank: Using search engine technology for the analysis of microarray experiments
Background: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the t...
Julie L. Morrison, Rainer Breitling, Desmond J. Hi...