Perceptron capacity revisited: classification ability for correlated patterns

DOI10.1088/1751-8113/41/32/324013zbMath1171.82347arXiv0712.4050OpenAlexW3101693249MaRDI QIDQ3523011

Takashi Shinzato, Yoshiyuki Kabashima

Publication date: 1 September 2008

Published in: Journal of Physics A: Mathematical and Theoretical (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0712.4050

Mathematics Subject Classification ID

Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses) (82D30)

Related Items (6)

Mean-field inference methods for neural networks ⋮ Typicall₁-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices ⋮ Minimal investment risk of a portfolio optimization problem with budget and investment concentration constraints ⋮ Validation of the replica trick for simple models ⋮ Learning to Discriminate Through Long-Term Changes of Dynamical Synaptic Transmission ⋮ High-temperature expansions and message passing algorithms

This page was built for publication: Perceptron capacity revisited: classification ability for correlated patterns