Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Here is the class signature, so you can see what it supports, but suffice it to say it supports all the typical arithmetic operations one would expect from an arithmetic class library. I've written a ...

The Zephyr Scientific Library (zscilib) is an attempt to provide a set of functions useful for scientific computing, data analysis and data manipulation in the context of resource constrained embedded ...

Abstract: Decimal multiplication is important in many commercial applications including financial analysis, banking, tax calculation, currency conversion, insurance, and accounting. This paper ...

A critical challenge in neuromorphic computing is to present computationally efficient algorithms of learning. When implementing gradient-based learning, error ...

1. The definitions in an XML document are said to be _____ when the tagging system and definitions in the DTD are all in compliance. (1) M=3; D1 displays ”12”; D2 displays ”6”; D3 displays ”12”. (2) ...

Theoretical biology was founded on the mathematical tools of statistics and physics. We believe there are productive connections to be made with the younger field of theoretical computer science, ...

Speed is essential in multimedia, graphics and signal processing. Sometimes programmers resort to assembly language to get every last bit of speed out of their machines. GCC offers an intermediate ...