no code implementations • 14 Jan 2022 • Mateus F. B. Granha, André L. M. Vilela, Chao Wang, Kenric P. Nelson, H. Eugene Stanley
We investigate the financial market dynamics by introducing a heterogeneous agent-based opinion formation model.
no code implementations • 20 Dec 2020 • Kenric P. Nelson
A new statistical estimation method, Independent Approximates (IAs), is defined and proven to enable closed-form estimation of the parameters of heavy-tailed distributions.
Methodology Information Theory Information Theory Data Analysis, Statistics and Probability 62F10
no code implementations • 21 Nov 2020 • Kevin R. Chen, Daniel Svoboda, Kenric P. Nelson
The generalized mean of the generated image's likelihood is used to measure the performance of the algorithm's decisiveness, accuracy, and robustness.
no code implementations • 29 May 2020 • Christopher A. George, Eduardo A. Barrera, Kenric P. Nelson
We review three recently-proposed classifier quality metrics and consider their suitability for large-scale classification challenges such as applying convolutional neural networks to the 1000-class ImageNet dataset.
1 code implementation • 3 Jun 2019 • Shichen Cao, Jingjing Li, Kenric P. Nelson, Mark A. Kon
We analyze the histogram of the likelihoods of the input images using the generalized mean, which measures the model's accuracy as a function of the relative risk.
no code implementations • 23 Apr 2014 • Kenric P. Nelson, Madalina Barbu, Brian J. Scannell
Neural network design has utilized flexible nonlinear processes which can mimic biological systems, but has suffered from a lack of traceability in the resulting network.