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, ...
Genetic Algorithm with Efficient Selection Using Pareto Front Modeling and Data Envelopment Analysis
Abstract: There exist various multi-objective optimization problems(MOPs) in the real world that require acquiring diverse solutions efficiently. Various multi ...
Abstract: Gene selection is an important research content in bioinformatics and pattern recognition. Genetic data has the nature of small sample size and high dimension. Only a small number of genes ...
The RNA binder experiments use the ViennaRNA package, developed at the Institute for Theoretical Chemistry of the University of Vienna. @article{lorenz2011, title = "{ViennaRNA} Package 2.0", author = ...
Objective This study aimed to validate claims-based algorithms for identifying SLE and lupus nephritis (LN) in Medicare data, enhancing the use of the Lupus Index for geospatial research on SLE ...
1 Institute of Agricultural Information, Jiangsu Academy of Agricultural Sciences, Nanjing, China 2 Key Laboratory of Intelligent Agricultural Technology (Changjiang Delta), Ministry of Agriculture ...
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