Ways for reducing the amount of computation when estimating capacity characteristics of models of lossy communication systems with product form representat.
Abstract—Ways for reducing the amount of computation when estimating capacity charac- teristics of models of lossy communication systems with product form ...
Methods for Reducing the Amount of Computation in Modeling Lossy Communication Systems Based on Ignoring Low-Probability StatesS. N. Stepanov, Villy Bæk Iversen ...
Methods for Reducing the Amount of Computation in Modeling Lossy Communication Systems Based on Ignoring Low-Probability States [View Abstract] S. N. ...
Approximate computing has gained research attention recently as a way to increase energy efficiency and/or performance by exploiting some applications' ...
with a DFE simulation. There are a number of methods that can be used to reduce the number of states in the finite-state machine, most of which will reduce ...
Jun 29, 2023 · This paper reviews several approaches to address the challenges posed by small data sets, including transfer learning or multitask learning.
The model of a communication system that we have been developing is shown in Figure 7.1. This model is also useful for some computation systems.
Missing: Methods Reducing
We present high quality image synthesis results using diffusion probabilistic models, a class of latent variable models inspired by considerations from ...
Nov 26, 2019 · By fitting models to experimental data we can probe the algorithms underlying behavior, find neural correlates of computational variables and ...