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Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-95-053

On the relations between distributive computability and the BSS model

Sebastiano Vigna
University of Milan
Italy

Abstract
This paper presents an equivalence result between computability in the BSS model and in a suitable distributive category. It is proved that the class of functions $R^m\to R^n$ (with $n,m$ finite and $R$ a commutative, ordered ring) computable in the BSS model and the functions distributively computable over a natural distributive graph based on the operations of $R$ coincide. Using this result, a new structural characterization, based on iteration, of the same functions is given.

 

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