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: Imbalanced data is one type of datasets that are frequently found in real-world applications, e.g., fraud detection and cancer diagnosis. For this type of datasets, improving the accuracy to ...
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 ...
New beta feature allows customers to use their Amazon Shopping app to complete purchases from other brand retailer websites if Amazon doesn’t sell the item directly. Amazon offers very broad selection ...
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 ...
Embedded developers have an ongoing struggle to keep the pace by upgrading compilers and debugging tools, while ensuring the processing hardware going into their systems are right-sized for the ...
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