A new feature on Elon Musk's X is exposing the truth behind social media accounts across the political spectrum, with account owners apparently misleading followers about where they are posting from.
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 is an effective strategy to reduce dimensionality, remove irrelevant data and increase learning accuracy. The curse of dimensionality of data poses a severe challenge to ...
ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
1 Department of Engineering and Technology, International Training Faculty, Thai Nguyen University of Technology, Thai Nguyen, Vietnam 2 Department of Mechanical Engineering, TUETECH University, Thai ...
Abstract: A large number of features are involved in fault diagnosis, and it is challenging to identify important and relative features for fault classification. Feature selection selects suitable ...
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 ...
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