IEEE

Secure and Efficient k NN Classification for Industrial Internet of Things

Abstract: The k-nearest neighbors (kNN) classification has been widely used for defective product identification and anomaly detection in the Industrial Internet of Things (IIoT). In this article, we ...

New framework renders AI more trustworthy for cancer subtyping

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
IEEE

Medical Health Big Data Classification Based on KNN Classification Algorithm

Abstract: The rapid development of information technology has led to the development of medical informatization in the direction of intelligence. Medical health big data provides a basic data resource ...
Frontiers

Causative Classification of Ischemic Stroke by the Machine Learning Algorithm Random Forests

Prognosis, recurrence rate, and secondary prevention strategies differ by different etiologies in acute ischemic stroke. However, identifying its cause is challenging. We retrospectively reviewed the ...
Scientific Research Publishing

A Study on Forecasting the Default Risk of Bond Based on XGboost Algorithm and Over-Sampling Method ()

1 Investment Bank Department, Chengdu Agricultural and Commercial Bank, Chengdu, China. 2 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.