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, ...
Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...
Genetic genealogy is identifying the mothers of deceased newborns found abandoned, shedding light on crimes that went unsolved for years. Women now may face lengthy prison sentences for decades-old ...
Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...
More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...
Abstract: When performing feature selection on most data sets, there is a general situation that some different feature subsets have the same number of selected ...
Abstract: Mass spectrometry technique is a revolutionary tool for diagnosing early stage cancer by analyzing protein mass spectra, and for detecting biomarkers. But because of the high dimensionality ...
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