Storage capacity in symmetric binary perceptrons
- 1. Institut de Physique Théorique, Université Paris Saclay, CNRS, CEA Saclay, F-91191 Gif-sur-Yvette (France)
- 2. Department of Mathematics, Statistics and Computer Science, University of Illinois, Chicago, IL (United States)
Description
We study the problem of determining the capacity of the binary perceptron for two variants of the problem where the corresponding constraint is symmetric. We call these variants the rectangle-binary-perceptron (RPB) and the u-function-binary-perceptron (UBP). We show that, unlike for the usual step-function-binary-perceptron, the critical capacity in these symmetric cases is given by the annealed computation in a large region of parameter space (for all rectangular constraints and for narrow enough u-function constraints, K < K *). We prove this fact (under two natural assumptions) using the first and second moment methods. We further use the second moment method to conjecture that solutions of the symmetric binary perceptrons are organized in a so-called frozen-1RSB structure, without using the replica method. We then use the replica method to estimate the capacity threshold for the UBP case when the u-function is wide K > K *. We conclude that full-step-replica-symmetry breaking would have to be evaluated in order to obtain the exact capacity in this case. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1751-8121/ab227aAdditional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. A, Mathematical and Theoretical (Online)
- Journal Volume
- 52
- Journal Issue
- 29
- Journal Page Range
- [32 p.]
- ISSN
- 1751-8121
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52025725
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- LIMITING VALUES; MATHEMATICAL MODELS; MATHEMATICAL SPACE; MOMENTS METHOD; NEURAL NETWORKS; SYMMETRY BREAKING
- Descriptors DEC
- CALCULATION METHODS; SPACE