Zobrazeno 1 - 10
of 7 756
pro vyhledávání: '"Binary data"'
Publikováno v:
Water Science and Technology, Vol 90, Iss 1, Pp 156-167 (2024)
Model parameter estimation is a well-known inverse problem, as long as single-value point data are available as observations of system performance measurement. However, classical statistical methods, such as the minimization of an objective function
Externí odkaz:
https://doaj.org/article/e105a2a09b4a4260a283e7ffc0f02eb9
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 5, Pp 868-885 (2024)
Abstract Quantification of phenological patterns (e.g. migration, hibernation or reproduction) should involve statistical assessments of non‐uniform temporal patterns. Circular statistics (e.g. Rayleigh test or Hermans‐Rasson test) provide useful
Externí odkaz:
https://doaj.org/article/42e00959dcc3467a99c10e48b02ab066
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Multimorbidity is typically associated with deficient health-related quality of life in mid-life, and the likelihood of developing multimorbidity in women is elevated. We address the issue of data sparsity in non-prevalent feature
Externí odkaz:
https://doaj.org/article/65f2b0e4e1484573bc0ade3696fb77b8
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Classification of binary data arises naturally in many clinical applications, such as patient risk stratification through ICD codes. One of the key practical challenges in data classification using machine learning is to avoid ove
Externí odkaz:
https://doaj.org/article/201a4f4475c943f7911946d26a3bce50
Publikováno v:
Mathematics, Vol 12, Iss 5, p 741 (2024)
Pooled sample testing is an effective strategy to reduce the cost of disease surveillance in human and animal medicine. Testing pooled samples commonly produces matched observations with dichotomous responses in medical and epidemiological research.
Externí odkaz:
https://doaj.org/article/80cdb8bdb00b434f8c8123839aef0cd5
Publikováno v:
Array, Vol 19, Iss , Pp 100319- (2023)
Semi-supervised clustering is a machine learning technique that was introduced to boost clustering performance when labeled data is available. Indeed, some labeled data are usually available in real use cases, and can be used to initialize the cluste
Externí odkaz:
https://doaj.org/article/37958541499b4ceb871c70dd067b2559
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method. A binary matrix is usually converted from
Externí odkaz:
https://doaj.org/article/87d54c8aec354ce190df98c8ce34440f
Publikováno v:
Journal of Biostatistics and Epidemiology, Vol 9, Iss 2 (2023)
Introduction: The mixed effects logistic regression model is a common model for analysing correlated binary data as longitudinal data. The between and within subject variances are typically considered to be homogeneous but longitudinal data often sho
Externí odkaz:
https://doaj.org/article/35bf1e8a4b9f47c8b9b8b2c787d525da
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Akademický článek
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