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Neural Networks and Computational Learning Theory

 

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NeuroCOLT Technical Report NC-TR-97-007

A Note on Non-complete Problems in NPR

S. Ben-David, Technion
Israel

K. Meer
RWTH, Aachen
Germany

C. Michaux
Universite de Mons-Hainaut
Belgium

Abstract
This note deals with the structure of the class $NP_{\Re}$ introduced by Blum, Shub and Smale \cite{BSS}. It is shown that, assuming $NP_{\Re} \not\subseteq $P_{\Re} /poly$, there exists a problem in $NP_{\Re} \setminus (P_{\Re} /poly)$ which is not $NP_{\Re}$-complete (w.r.t $P_{\Re} /poly$ reductions). It also clarifies the scope of padding technique used in a former similar result by Ladner \cite{La} concerning the structure of the class $NP$ (in the common, Turing machine, model).

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