News

Visual Studio Magazine8d
Linear Support Vector Regression Using C# with Particle Swarm Training
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
IEEE25d
Generalized Linear Quaternion Complementary Filter for Attitude Estimation From Multisensor Observations: An Optimization Approach
Abstract: Focusing on generalized sensor combinations, this paper deals with the attitude estimation problem using a linear complementary filter (CF). The quaternion observation model is obtained via ...
IEEE27d
Error Analysis of Three-Layer Neural Network Trained with PGD for Deep Ritz Method
we specifically focus on employing a three-layer tanh neural network within the framework of the deep Ritz method(DRM) to solve second-order elliptic equations with three different types of boundary ...
Learn With Jay on MSN14d
Linear Regression Gradient Descent ¦ Machine Learning ¦ Explained Simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
Stockhouse13d
MicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm Accuracy
SHENZHEN, May 27, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Explores Optimization of Quantum Error Correction Algorithms to Enhance Quantum Algorithm Accuracy Shenzhen ...
GitHub3d
Regularized Linear Regression Deep Dive:
This project consists of a deep dive on multiple linear ... applies optimization theory to either derive model estimator (for OLS and Ridge) or derive the update rule for Pathwise Coordinate Descent ...