IEEE

Conditional Mutual Information Constrained Deep Learning for Classification

Abstract: The concepts of conditional mutual information (CMI) and normalized CMI (NCMI) are introduced to measure the concentration and separation performance of a classification deep neural network ...
Devdiscourse

Why AI systems struggle with identities that resist fixed labels

A new academic study argues that the structural reliance of artificial intelligence (AI) systems on classification models creates significant challenges when AI systems attempt to represent fluid and ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Chicago Sun-Times

'The ghost in the machine is just us' — AI pinch hits. But there's a problem...

Why are we asking for donations? Why are we asking for donations? This site is free thanks to our community of supporters. Voluntary donations from readers like you keep our news accessible for ...
IEEE

A Topical Review of Quantum and Classical Machine Learning Approaches to Disaster Escape Routing Problems

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...