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 ...
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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 ...
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 ...
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 ...
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