Polynomial Regression is a process by which given a set of inputs and their corresponding outputs, we find an nth degree polynomial f(x) which converts the inputs into the outputs. This f(x) is of the ...

Abstract: This article addresses polynomial computation with unipolar stochastic logic by exploiting correlation between the bit-streams. The AND-OR, double-NAND, OR-AND and double-NOR circuits are ...

The Müntz-Legendre polynomials arise by orthogonalizing the Müntz system $\{x^{\lambda _{0}},x^{\lambda _{1}},\ldots \}$ with respect to Lebesgue measure on [0, 1]. In this paper, differential and ...

Abstract: Motivated by questions about secure multi-party computation, we introduce and study a new natural representation of functions by polynomials, which we term randomizing polynomials. "Standard ...

In this repository, we conduct a series of benchmarks to evaluate different machine learning models on the MNIST dataset. The benchmarks are designed to test each model's accuracy, the number of ...

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

CBSE Class 10 Assertion Reasoning Questions 2025 for Maths, Science, Social Science along with solution. Download Free PDF ...

where for any polynomial f (x), f | xj stands for the coefficient of x j in f. In addition, Conjecture 2 holds when q = 1. Remark 4: By taking the coefficient of z1 z2 ··· zn in C̃μ [Z; q, t] we ...

The generation of spatial bright solitons of reflection and transmission pulses and their intensities are investigated in a sodium atomic medium using Gaussian Milnor polynomial control fields.

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Daniele Struppa will be returning to the classroom and research, though he never really left it during his decade leading the ...