Universit at Ulm Fakultt at F Ur Informatik a on the Correspondence between Neural Folding Architectures and Tree Automata on the Correspondence between Neural Folding Architectures and Tree Automata

  • Andreas K Uchler
  • Published 1998

Abstract

The folding architecture together with adequate supervised training algorithms is a special recurrent neural network model designed to solve inductive inference tasks on structured domains. Recently, the generic architecture has been proven as a universal approximator of mappings from rooted labeled ordered trees to real vector spaces. In this article we… (More)

Topics

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Slides referencing similar topics