This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...

Abstract: This paper studies kernel PCA in a decentralized setting, where data are distributively observed with full features in local nodes, and a fusion center is prohibited. Compared with linear ...

DULUTH, Minn. — On Christmas Eve, Heartland PCA, a home care agency in northern Minnesota, received notice from the Department of Human Services that payments were being suspended under a new federal ...