We then propose a more accurate model for such bit-streams based on the hypergeometric distribution and examine its implications for several SC applications.
The effectiveness of this study is validated on a large image processing circuit which achieves an accuracy improvement of 32%, combined with a reduction in ...
Jun 26, 2020 · A fundamental assumption in stochastic computing (SC) is that bit-streams are generally well-approximated by a Bernoulli process, i.e., ...
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The computation of the cumulative hypergeometric distribution function is of interest to many researchers who are working in the computational sciences.
Missing: Stochastic | Show results with:Stochastic
[1] Baker, T.J. and J.P. Hayes. “The hypergeometric distribution as a more accurate model for stochastic computing.” Proc. DATE, 592-597, 2020. [2] Baker ...
Apr 23, 2022 · This distribution defined by this probability density function is known as the hypergeometric distribution with parameters m, r, and n.
A new method is presented for computing this function that applies prime number factorization to the factorials and applies cancellation to the numerator ...
Missing: Stochastic | Show results with:Stochastic
공동 저자 ; The hypergeometric distribution as a more accurate model for stochastic computing. TJ Baker, JP Hayes. 2020 Design, Automation & Test in Europe ...
The aim of this work is to introduce a new stochastic volatility model for equity derivatives. To overcome some of the well-known problems of the Heston ...
... distribution is not accurate and general in system analysis. A novel mathematic method, hypergeometric decomposition is proposed to solve this problem; it ...