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» An Approximation Algorithm for Approximation Rank
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97
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SIGIR
2008
ACM
15 years 10 days ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...
COCOON
2008
Springer
15 years 2 months ago
The Computational Complexity of Link Building
We study the problem of adding k new links to a directed graph G(V, E) in order to maximize the minimum PageRank value for a given subset of the nodes. We show that this problem is...
Martin Olsen
FOCS
2006
IEEE
15 years 6 months ago
Local Graph Partitioning using PageRank Vectors
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on the size of the small side of the cut, rather than...
Reid Andersen, Fan R. K. Chung, Kevin J. Lang
97
Voted
SCL
2008
109views more  SCL 2008»
15 years 10 days ago
A note on linear function approximation using random projections
ABSTRACT: Linear function approximations based on random projections are proposed and justified for a class of fixed point and minimization problems. KEY WORDS: random projections,...
Kishor Barman, Vivek S. Borkar
100
Voted
QEST
2005
IEEE
15 years 6 months ago
An approximation algorithm for labelled Markov processes: towards realistic approximation
Abstract— Approximation techniques for labelled Markov processes on continuous state spaces were developed by Desharnais, Gupta, Jagadeesan and Panangaden. However, it has not be...
Alexandre Bouchard-Côté, Norm Ferns, ...