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Minimal Logical Constraint Covering Sets


Technical Report


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.

Author(s): Sinz, FH. and Schölkopf, B.
Number (issue): 155
Year: 2006
Month: December
Day: 0

Department(s): Empirical Inference
Bibtex Type: Technical Report (techreport)

Institution: Max Planck Institute for Biological Cybernetics, Tübingen

Digital: 0
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PDF


  title = {Minimal Logical Constraint Covering Sets},
  author = {Sinz, FH. and Sch{\"o}lkopf, B.},
  number = {155},
  organization = {Max-Planck-Gesellschaft},
  institution = {Max Planck Institute for Biological Cybernetics, Tübingen},
  school = {Biologische Kybernetik},
  month = dec,
  year = {2006},
  month_numeric = {12}