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  Ranking on Data Manifolds

Zhou, D., Weston, J., Gretton, A., Bousquet, O., & Schölkopf, B.(2003). Ranking on Data Manifolds (113).

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 Creators:
Zhou, D1, Author           
Weston, J1, Author           
Gretton, A1, Author           
Bousquet, O1, Author           
Schölkopf, B1, Author           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: The Google search engine has had a huge success with its PageRank web page ranking algorithm, which exploits global, rather than local, hyperlink structure of the World Wide Web using random walk. This algorithm can only be used for graph data, however. Here we propose a simple universal ranking algorithm for vectorial data, based on the exploration of the intrinsic global geometric structure revealed by a huge amount of data. Experimental results from image and text to bioinformatics illustrates the validity of our algorithm.

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 Dates: 2003-06
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 113
BibTex Citekey: 2290
 Degree: -

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