Code repository for Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear baselines This repository contains the code to reproduce our analysis from Deep ...

On the other hand, many of the natural phenomena do not present such behavior; nevertheless, the use of non-linear models is costly and requires advanced knowledge of language programming such as R.

Clients upload a compressed local model using a “key” shared with the server to formulate the server aggregation in the FL as linear regression. Therefore, the parameters of the global model are ...

Simple sugars are the most basic types of sugar, and your body uses them for energy. Learn where simple sugars are found, how they are different from complex sugars, and the impact that both can ...

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...