Results 181 to 190 of about 6,804 (227)

RETRACTED: Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

open access: yesPLoS One
Abd Elaziz M   +8 more
europepmc   +1 more source

Stochastic Arithmetic in Multiprecision

Mathematics in Computer Science, 2011
Floating-point arithmetic precision is limited in length the IEEE single (respectively double) precision format is 32-bit (respectively 64-bit) long. Extended precision formats can be up to 128-bit long. However some problems require a longer floating-point format, because of round-off errors.
Stef Graillat   +2 more
exaly   +3 more sources

Stochastic arithmetic: Addition and multiplication by scalars

Applied Numerical Mathematics, 2004
Stochastic numbers are defined as Gaussian random variables with known mean-value and standard deviation. Stochastic arithmetic is then seen as a set of operations on stochastic numbers. The paper under review is focused on addition and multiplication by scalars. Algebraic systems are modelled that represent stochastic arithmetics. Special attention is
Svetoslav Markov
exaly   +3 more sources

Hardware Implementation of Discrete Stochastic Arithmetic

Numerical Algorithms, 2004
In this paper we present a hardware implementation of the Discrete Stochastic Arithmetic (DSA) which is based on CESTAC (Controle et Estimation STochastique des Arrondis de Calculs), a method of controlling round-off errors in floating-point scientific computations.
Mehrez Habib
exaly   +5 more sources

Discrete Stochastic Arithmetic for Validating Results of Numerical Software

Numerical Algorithms, 2004
The Discrete Stochastic Arithmetic DSA is a probabilistic approach for round-off error propagation. After a brief review of the CESTAC (Controle et Estimation Stochastique des Arrondis de Calculs) method, which is the basis of DSA, the concept of the “informatical zero”, also called “computational zero”, is defined.
exaly   +3 more sources

Scaled Population Arithmetic for Efficient Stochastic Computing

2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 2020
We propose a new Scaled Population (SP) based arithmetic computation approach that achieves considerable improvements over existing stochastic computing (SC) techniques. First, SP arithmetic introduces scaling operations that significantly reduce the numerical errors as compared to SC.
He Zhou   +3 more
openaire   +1 more source

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