Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
Jun 1, 2022 · In this paper, we give an upper bound on the variance of scalar multilayer perceptrons (MLPs) for log-concave distributions.
In this paper, we give an upper bound on the variance of scalar multilayer perceptrons. The distribution of the input is assumed to be the class of ...
In this paper, we give an upper bound on the variance of scalar multilayer perceptrons. The distribution of the input is assumed to be the class of ...
An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions. https://doi.org/10.1016/j.neucom.2021.11.062 ·. Journal ...
In this paper, we give an upper bound on the variance of scalar multilayer perceptrons. The distribution of the input is assumed to be the class of log-concave ...
Aydin Sarraf, Saeed Khalili: An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions.
2023. An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions. A Sarraf, S Khalili. Neurocomputing 488, 540-546, 2022. 6 ...
An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions · Author Picture Aydin Sarraf,; Author Picture Saeed Khalili.
An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions · Sarraf. ,. Khalili. 2022. Neurocomputing · 6. 0. 1. 0 · View ...