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Linear regression using gradient descent explained simply

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

Human Gait Cost Function Varies With Walking Speed: An Inverse Optimal Control Study

Abstract: This work investigates the optimal cost function composition for human gait at different walking speeds. Kinematic and kinetic data for walking at four walking speeds were collected from ...
IEEE

Logistic-Function Shaping of Radial Force for Acoustic Noise Reduction in Switched Reluctance Motor

Abstract: In this paper, radial-force shaping using the logistic function is proposed for acoustic noise reduction in switched reluctance motors. The proposed radial-force shaping regulates the radial ...
Learn With Jay on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning #LogisticRegress ...
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 ...