Statistical mechanics of lossy compression for nonmonotonic multilayer perceptrons

Florent Cousseau, Kazushi Mimura, Toshiaki Omori, and Masato Okada
Phys. Rev. E 78, 021124 – Published 19 August 2008

Abstract

A lossy data compression scheme for uniformly biased Boolean messages is investigated via statistical mechanics techniques. We utilize a treelike committee machine (committee tree) and a treelike parity machine (parity tree) whose transfer functions are nonmonotonic. The scheme performance at the infinite code length limit is analyzed using the replica method. Both committee and parity treelike networks are shown to saturate the Shannon bound. The Almeida-Thouless stability of the replica symmetric solution is analyzed, and the tuning of the nonmonotonic transfer function is also discussed.

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  • Received 20 March 2008

DOI:https://doi.org/10.1103/PhysRevE.78.021124

©2008 American Physical Society

Authors & Affiliations

Florent Cousseau*

  • Graduate School of Frontier Sciences, University of Tokyo, Chiba 277-5861, Japan

Kazushi Mimura

  • Faculty of Information Sciences, Hiroshima City University, Hiroshima 731-3194, Japan

Toshiaki Omori

  • Brain Science Institute, RIKEN, Saitama 351-0198, Japan

Masato Okada

  • Graduate School of Frontier Sciences, University of Tokyo, Chiba 277-5861, Japan and Brain Science Institute, RIKEN, Saitama 351-0198, Japan

  • *florent@mns.k.u-tokyo.ac.jp
  • mimura@hiroshima-cu.ac.jp

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Issue

Vol. 78, Iss. 2 — August 2008

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