IEEE

A Fully Probabilistic Model for Sigmoid Approximation and Its Hardware- Efficient Implementation

Abstract: The sigmoid function is a representative activation function in shallow neural networks. Its hardware realization is challenging due to the complex exponential and reciprocal operations.
IEEE

Efficient Computation of Robust Weighted Low-Rank Matrix Approximations Using the L_1 Norm

Abstract: The calculation of a low-rank approximation to a matrix is fundamental to many algorithms in computer vision and other fields. One of the primary tools used for calculating such low-rank ...
Investopedia

Understand Below-the-Line Advertising: Strategies and Benefits in Marketing

Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. David Kindness is a Certified Public Accountant (CPA) and an expert in ...
Investopedia

What Are Above-The-Line Costs & Their Role in Business Finance

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...