GitHub

Covariance Data Frames for Predictive M/EEG Pipelines

For this purpose, coffeine uses DataFrames to handle multiple covariance matrices alongside scalar features. Vectorization and model composition functions are provided that handle composition of valid ...
Investopedia

Correlation Coefficients: Positive, Negative, and Zero

Steven Nickolas is a writer and has 10+ years of experience working as a consultant to retail and institutional investors. Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor ...
IEEE

Robust Kalman Filters With Unknown Covariance of Multiplicative Noise

Abstract: In this article, the joint estimation of state and noise covariance for linear systems with unknown covariance of multiplicative noise is considered. The measurement likelihood is modeled as ...
IEEE

Adaptive Cubature Split Covariance Intersection Filter for Multi-Vehicle Cooperative Localization

Abstract: Cooperative localization is still an open problem for autonomous vehicle driving tasks. Generally, there are two essential issues to be handled for multi-vehicle cooperative localization: ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
GitHub

Python programming tutorial for beginners

This is a concise Python 3 programming tutorial for people who think that reading is boring. I try to show everything with simple code examples; there are no long and complicated explanations with ...