When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality.

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality.

A new resource has been launched by Demystify Biometrics to apply its mission of increasing transparency to governments, enterprises, analysts and investors around biometric performance to the ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

Researchers at Dalian University of Technology and Dalian University have unveiled a new MATLAB toolbox, BG 2 VN, which promises to enhance the way we test and compare algorithms for identifying the ...

This paper proposes an enhanced-search form of the newly designed artificial hummingbird algorithm (AHA), named oppositional chaotic artificial hummingbird algorithm. The proposed OCAHA methodology ...

WebSort is an interactive web-based sorting algorithm visualizer that allows users to observe and compare various sorting algorithms in real-time. Whether you are a beginner learning about sorting ...

Background: Dysphagia is a common complication of stroke and often leads to the need for modified diets and alternate feeding routes. Length of stay (LOS) for stroke patients requiring percutaneous ...