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  Minimal Logical Constraint Covering Sets

Sinz, F., & Schölkopf, B.(2006). Minimal Logical Constraint Covering Sets (155). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CF51-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-C582-8
Genre: Report

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MPIK-TR-155.pdf (Publisher version), 464KB
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 Creators:
Sinz, FH1, 2, Author           
Schölkopf, B1, 2, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              

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 Abstract: We propose a general framework for computing minimal set covers under class of certain logical constraints.
The underlying idea is to transform the problem into a mathematical programm under linear constraints.
In this sense it can be seen as a natural extension of the vector quantization algorithm proposed by Tipping and Schoelkopf.
We show which class of logical constraints can be cast and relaxed into linear constraints and give an algorithm for
the transformation.

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 Dates: 2006-12
 Publication Status: Published in print
 Pages: 12
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 155
BibTex Citekey: 4264
 Degree: -

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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 155 Sequence Number: - Start / End Page: - Identifier: -