Zobrazeno 1 - 10
of 2 000
pro vyhledávání: '"Group lasso"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract From social and economic perspectives, compositional data represent the proportions of various components within a whole, carrying non-negative values and providing only relative information. However, in many circumstances, there are often a
Externí odkaz:
https://doaj.org/article/8f7b04c1fc124529b89983d3214f5981
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-25 (2024)
Abstract Background Copy number variants (CNVs) have become increasingly instrumental in understanding the etiology of all diseases and phenotypes, including Neurocognitive Disorders (NDs). Among the well-established regions associated with ND are sm
Externí odkaz:
https://doaj.org/article/277eae9c344b49e2b20a0136fae4e8a2
Akademický článek
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Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 1, Pp 11-17 (2024)
Sound field reproduction is a method that uses multiple secondary sound sources to reproduce a predefined desired sound field in a listening area. The configuration of the secondary sound sources is a key factor affecting the reproduction performance
Externí odkaz:
https://doaj.org/article/a75d00a46e22431a8e89842dafb7093a
Publikováno v:
BMC Health Services Research, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Risk-adjustment (RA) models are used to account for severity of illness in comparing patient outcomes across hospitals. Researchers specify covariates as main effects, but they often ignore interactions or use stratification to ac
Externí odkaz:
https://doaj.org/article/d398557690064a668cdc33a82bf1cdcf
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background A substantial body of clinical research involving individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evaluated the association between in-hospital biomarkers and severe SARS-CoV-2 outcomes,
Externí odkaz:
https://doaj.org/article/a8c90492647f487ea850b49fc37fa2b9
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 5, Pp 838-845 (2023)
Purposes In the research of depression classification and diagnosis, feature selection plays a crucial role. Methods To address the issues of missing group effect information in existing hypergraph regularized feature selection methods, the group las
Externí odkaz:
https://doaj.org/article/79f973217daf4a17bc67b5f6e7e6511e
Publikováno v:
Frontiers in Systems Biology, Vol 4 (2024)
Exploring features associated with the clinical outcome of interest is a rapidly advancing area of research. However, with contemporary sequencing technologies capable of identifying over thousands of genes per sample, there is a challenge in constru
Externí odkaz:
https://doaj.org/article/a845c2977dcf43798780ba07759f8b5f
Autor:
LI Chen, WAN Yuan
Publikováno v:
Jisuanji kexue, Vol 50, Iss 2, Pp 146-157 (2023)
Compared with the time series classification methods based on global features,the shapelet-based methods have more advantages in interpretability,efficiency and accuracy.In order to solve the problems of insufficient discrimination of shapelets obtai
Externí odkaz:
https://doaj.org/article/f3992c52a531415591eaf2cc5573d66e
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-10 (2023)
Abstract Speech feature model is the basis of speech and noise separation, speech expression, and different styles of speech conversion. With the development of signal processing methods, the feature types and dimensions increase. Therefore, it is di
Externí odkaz:
https://doaj.org/article/65dde2afabed4071bd197f0c9eb91746