IEEE

Linear Regression for Implicit Standard Interference Function in Wireless Networks under General Fading Environments

Abstract: Understanding and analyzing the effects of channel fading is crucial for mitigating signal degradation, enhancing transmission reliability, and improving overall communication service ...

Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.
Learn With Jay on MSN

Linear regression cost function explained simply

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...
Learn With Jay on MSN

Linear regression gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
GitHub

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions

This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
IEEE

Plan Optimal Collision-Free Trajectories With Nonconvex Cost Functions Using Graphs of Convex Sets

Abstract: The recently developed approach to motion planning in graphs of convex sets (GCS) provides an efficient framework for computing shortest-distance collision-free paths using convex ...