Tutorial: Running a sample dataset (protein sequences) This document will walk you through the steps of how to run a dataset on ortho_seqs, and what the various outputs are. This tutorial uses protein ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This code implements two polynomial networks for image recognition. The two codes are based on the paper of "**Π-nets: Deep Polynomial Neural Networks**" (also available here) 1. The two networks are ...

Bernstein polynomial estimation provides a robust nonparametric technique for approximating both density and distribution functions. Based on the properties of Bernstein polynomials, which uniformly ...

In this paper, an algebraic method which is based on the groebner bases theory is proposed to solve the polynomial functions conditional extreme. Firstly, we describe how to solve conditional extreme ...

Abstract: This article proposes a novel parametric modeling technique incorporating a joint polynomial-transfer function with neural networks (short for neuro-PTF) for electromagnetic (EM) behaviors ...