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  Towards the Inference of Graphs on Ordered Vertexes

Zien, A., Rätsch, G., & Ong, C.(2006). Towards the Inference of Graphs on Ordered Vertexes (150). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D09D-A Version Permalink: http://hdl.handle.net/21.11116/0000-0002-87F6-0
Genre: Report

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MPIK-TR-150.pdf (Publisher version), 168KB
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 Creators:
Zien, A1, 2, 3, Author              
Rätsch, G2, Author              
Ong, CS1, 2, 3, Author              
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Friedrich Miescher Laboratory, Max Planck Society, Max-Planck-Ring 9, 72076 Tübingen, DE, ou_2575692              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: We propose novel methods for machine learning of structured output spaces. Specifically, we consider outputs which are graphs with vertices that have a natural order. We consider the usual adjacency matrix representation of graphs, as well as two other representations for such a graph: (a) decomposing the graph into a set of paths, (b) converting the graph into a single sequence of nodes with labeled edges. For each of the three representations, we propose an encoding and decoding scheme. We also propose an evaluation measure for comparing two graphs.

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 Dates: 2006-08
 Publication Status: Published in print
 Pages: 9
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
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 Identifiers: Report Nr.: 150
BibTex Citekey: 4133
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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 150 Sequence Number: - Start / End Page: - Identifier: -