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» An Approximation Algorithm for Approximation Rank
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PPSN
2004
Springer
15 years 3 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
88
Voted
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
14 years 11 months ago
Reconstruction from Randomized Graph via Low Rank Approximation
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
Leting Wu, Xiaowei Ying, Xintao Wu
72
Voted
PAMI
2008
139views more  PAMI 2008»
14 years 10 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...
ICML
2003
IEEE
15 years 11 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
168
Voted
SIGMOD
2009
ACM
111views Database» more  SIGMOD 2009»
15 years 10 months ago
Language-model-based ranking in entity-relation graphs
We propose a language-model-based ranking approach for SPARQLlike queries on entity-relationship graphs. Our ranking model supports exact matching, approximate structure matching,...
Shady Elbassuoni, Maya Ramanath, Gerhard Weikum