Abstract: Microarray data-based cancer detection advances early diagnosis and personalized medicine by utilizing gene expression data to develop comprehensive cancer profiles, measuring thousands of ...
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, ...
Global warming caused by climate change causes some problems in agricultural production. One of these problems is the increase in various pest populations. This increase poses a serious threat to ...
ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...
1 Department of Bioinformatics, University of North Bengal, Darjeeling, West Bengal, India 2 Department of Computer Science and Engineering, Ghani Khan Choudhury Institute of Engineering and ...
1 School of Mathematics and Statistics, Guilin University of Technology, Guilin, China. 2 Applied Statistics Institute, Guilin University of Technology, Guilin, China.. Current high-dimensional ...
Abstract: Feature Selection (FS) is one of the power solutions used in Machine Learning (ML) problems, since it can help to remove irrelevant and redundant attributes, improve the performance, reduce ...
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