Step-by-Step Guide to Plotting a Yield Curve in Excel

Learn to create a yield curve in Excel and understand its implications for interest rate forecasting. Follow our simple guide ...
IEEE

Fusion Graph Structure Learning-Based Multivariate Time Series Anomaly Detection With Structured Prior Knowledge

Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...

How Does the Hive Mind Work in Pluribus?

So if we’re right, each former human is now essentially a radio transmitter and receiver. One plurb sends out a signal that ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
GitHub

Multivariable: Space and Functions

Learn to choose coordinate systems, visualize multivariable functions, and parameterize curves. You can use these live scripts as demonstrations in lectures, class activities, or interactive ...
IEEE

Noise-Assisted Graph Multivariate Empirical Mode Decomposition With Non-Uniform Projections

Abstract: Latest advances in multi-agent technology and hardware architecture design have made multivariate or multichannel data, often supported by graphs or networks, ubiquitous in recent scientific ...
GitHub

Root-finding methods for both univariate, scalar-valued functions and multivariate, vector-valued functions.

Please see https://docs.rs/rootfinder. Licensed under either of Apache License, Version 2.0 or MIT license at your option. Unless you explicitly state otherwise, any ...
Frontiers

A Boolean sum interpolation for multivariate functions of bounded variation

1 Institute of Mathematics, University of Lübeck, Lübeck, Germany 2 Institute of Mathematics, National Academy of Sciences of Ukraine, Kyiv, Ukraine This paper ...
marktechpost

The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better

Kolmogorov-Arnold Networks (KANs) have emerged as a promising alternative to traditional Multi-Layer Perceptrons (MLPs). Inspired by the Kolmogorov-Arnold representation theorem, these networks ...