Suitability of shallow (one-hidden-layer) networks with translation-invariant kernel units for function approximation and classification tasks is investigated. It is shown that a critical property ...

Editor’s Note: This story was updated at 11:48 p.m. on May 9 to accurately represent the current number of signatures on the most recent multivariable calculus open letter. In a second open letter to ...

Abstract: A stochastic approximation algorithm is presented for on-line identification of linear, multivariable, discrete-time systems from noisy data without prior knowledge of the statistics of ...

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This repository contains the implementation of a Multivariable Linear Regression model trained using the Gradient Descent optimization algorithm. The goal of this project is to model the relationship ...

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...

The primary goal of this project is to utilize the Multivariable Linear Regression model to identify key factors that influence Memory Speed (Memory_Speed) of GPUs. This analysis helps us predict the ...