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Linear regression gradient descent explained simply

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

LiP-LLM: Integrating Linear Programming and Dependency Graph With Large Language Models for Multi-Robot Task Planning

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
eLife

On CA1 ripple oscillations in rats and the reassessment of asynchronicity evidence

Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.
Scientific Research Publishing

W. S. Cleveland and S. J. Devlin, “Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting,” Journal of the American Statistical Association, Vol ...

ABSTRACT: This paper addresses an important issue in model combination, that is, model locality. Since usually a global linear model is unable to reflect nonlinearity and to characterize local ...