Researchers from Yunnan University, the Shanghai Astronomical Observatory (SHAO) of the Chinese Academy of Sciences, and the ...
Researchers from Nazarbayev University's National Laboratory created the first large-scale, high-quality genotyping dataset ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
This study provides useful insights into addressing the question of whether the prevalence of autoimmune disease could be driven by sex differences in the T cell receptor (TCR) repertoire, correlating ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Abstract: Feature selection (FS) is a crucial step in the data preprocessing phase of machine learning. FS is the process of selecting the relevent subset features from a large set of original ...
ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
During the model training process (I am referring to the process that includes generating synthetic data and involves backpropagation), when preprocessing features, the training samples are used to ...
NEW YORK, Jan. 17, 2025 (GLOBE NEWSWIRE) -- Mage Data™ is excited to announce the launch of Intelligent Subsetting, a cutting-edge innovation aimed at transforming how organizations manage and utilize ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results