GitHub

Linear-Layer-Enhanced Quantum Long Short-Term Memory for Carbon Price Forcasting

The official source code for Linear-Layer-Enhanced Quantum Long Short-Term Memory for Carbon Price Forecasting, accepted at Quantum Machine Intelligence (July 2023). This code implements the quantum ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
IEEE

The Error Probability of Spatially Coupled Sparse Regression Codes Over Memoryless Channels

Abstract: Sparse Regression Codes (SPARCs) are capacity-achieving codes introduced for communication over the Additive White Gaussian Noise (AWGN) channels and were later extended to general ...
IEEE

Some Quaternary Additive Codes Outperform Linear Counterparts

Abstract: The additive codes may have better parameters than linear codes. However, it is still a challenging problem to efficiently construct additive codes that outperform linear codes, especially ...
Hosted on MSN

Building multivariate linear regression in C++ — no libraries, just code

Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...