Polynomials and power functions are the foundation for modelling non-linear relationships. Polynomial functions such as quadratic, cubic and quartic model variables raised to exponents of different ...

A central problem in machine learning is the following. We are given data of the form {(x j, y j)} j = 1 M, where each x j is typically in a Euclidean space and y j is a label associated with x j. The ...

This paper presents a new generating function for Hermite polynomials of one variable in theform of\(g(x,t)=\sum_{n=0}^{\infty }t^{n}H^{e}_{n}(x)\)and reveals its connection with incomplete gamma ...

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 ...

This Article Is Based On The Research 'POLYLOSS: A POLYNOMIAL EXPANSION PERSPECTIVE OF CLASSIFICATION LOSS FUNCTIONS'. All Credit For This Research Goes To The Researchers Of This Paper 👏👏👏 Please ...

.. MODULEAUTHOR:: 2017 François Bergeron <bergeron.francois@uqam.ca>, Pauline Hubert <hubert.pauline@courrier.uqam.ca> and Mélodie Lapointe <lapointe.melodie@courrier.uqam.ca>; 2012 Mike Zabrocki ...

Department of Electronics Engineering, Indian Institute of Technology (ISM), Dhanbad, India In this paper, a landmark based approach, using five different interpolating polynomials (linear, cubic ...