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tit all "Algorithms"
im Bestand: Gesamter Bestand
16051 - 16060 von 17028
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16051
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
Enthalten in Journal of Big Data Bd. 9, 19.5.2022, Nr. 1, date:12.2022: 1-31
16052
S18.2: Development and validation of prognostic models predicting functional independence 100 days after acute stroke: a comparison of different algorithms
Enthalten in Biometrical journal Bd. 46, 2004, Nr. S1, Abstracts of the Joint Meeting of the IBS‐DR and the DAE, Heidelberg, 16–19 March 2004 1: 39-39. 1 S.
16053
Salivary detection of Chikungunya virus infection using a portable and sustainable biophotonic platform coupled with artificial intelligence algorithms
Enthalten in Scientific reports Bd. 14, 16.9.2024, Nr. 1, date:12.2024: 1-9
16054
Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
Enthalten in Artificial intelligence review Bd. 57, 7.5.2024, Nr. 6, date:6.2024: 1-50
16055
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms
Enthalten in BMC bioinformatics Bd. 11, 3.9.2010, Nr. 1, date:12.2010: 1-19
16056
Sampling algorithms by regularization and shifting
Enthalten in Signal, image and video processing Bd. 17, 23.5.2023, Nr. 7, date:10.2023: 3461-3466
16057
Sampling algorithms for estimating the mean of bounded random variables
Enthalten in Computational statistics Bd. 16, 4.11.2019, Nr. 1, date:3.2001: 1-23
16058
Sampling algorithms for weighted networks
Enthalten in Social network analysis and mining Bd. 6, 13.8.2016, Nr. 1, date:12.2016: 1-22
16059
Sarcopenia risk prediction and feature selection by using quantum machine learning algorithms
Enthalten in Quantum machine intelligence Bd. 6, 16.11.2024, Nr. 2, date:12.2024: 1-18
16060
SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images—Part II
Enthalten in Signal, image and video processing Bd. 16, 12.1.2022, Nr. 3, date:4.2022: 595-604
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