Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns. However, these ensembles are impractical in ...

Composer is an open-source deep learning training library by MosaicML. Built on top of PyTorch, the Composer library makes it easier to implement distributed training workflows on large-scale clusters ...

Abstract: Assessing the quality of NB-IoT network covered by the telecom “Mobile TeleSystems” company in Astrakhan, Russia was carried out. The quality was evaluated in terms of the received signal ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Atomistic molecular dynamics (MD) simulations have become an indispensable tool for ...

System identification learns models of dynamical systems from input–output measurements. Estimated models should generalize by predicting system’s output responses to new, previously unseen inputs.

The basic premise of “teaching students according to their aptitude” is to have a relatively objective and accurate understanding of the students' current learning statuses (e.g., knowledge mastery ...

Cyclic polymers have garnered increasing attention in the materials community as lack of free-chain ends in cyclic polymers results in significant differences in structure, thermodynamics, and ...

Or, if you prefer, you can use the "Download Zip" button available through the main repository page. Downloading the project as a .ZIP file will keep the size of the ...

Mixed linear model (MLM) methods have proven useful in controlling for population structure and relatedness within genome-wide association studies. However, MLM-based methods can be computationally ...