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 ...

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 ...

Polynomials are algebraic expressions consisting of variables, coefficients, and exponents, which play a crucial role in many areas of life and science. While they may seem abstract when learned in a ...

Polynomial equations are fundamental concepts in mathematics that define relationships between numbers and variables in a structured manner. In mathematics, various equations are composed using ...

In this video, I demonstrate how to find the remaining roots of a polynomial function when one zero is given. We'll apply the synthetic division tutorial method along with factoring to efficiently ...

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 ...