Frontiers

Reframing individual roles in collaboration: digital identity construction and adaptive mechanisms for resistance-based professional skills in AI-human intelligence symbiosis

1 School of Management, Wuhan University of Science and Technology, Wuhan, China 2 School of Management, Wuhan Technology and Business University, Wuhan, China Amid the unprecedented wave of AI ...
IEEE

Localization Using Stochastic Gradient Descent Method in a 5G Network

Abstract: In this paper, we propose an iterative method for smartphone localization in a 5G network. The location estimation accuracy degrades for an inbuilt GPS smartphone in dense environments and ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

1 Department of Computer Science, Nagoya Institute of Technology, Aichi, Japan 2 RIKEN Center for Advanced Intelligence Project, Tokyo, Japan In recent years, a learning method for classifiers using ...
Hosted on MSN

A Problem so Hard even Google relies on Random Chance

HLL is a probabilistic algorithm, meaning it's a guess rather than true answer. But due to some clever tricks it is usually within 2% of the correct value, and can do it both quickly and in a ...
Scientific Research Publishing

Ruder, S. (2017) An Overview of Gradient Descent Optimization Algorithms. arXiv: 1609.04747.

ABSTRACT: As drivers age, roadway conditions may become more challenging, particularly when normal aging is coupled with cognitive decline. Driving during lower visibility conditions, such as ...