Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms by Saadiallakh Normatov (20682324)

GELU function. by Yuanzhou Zheng (15195249)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. by Quynh-Anh Nguyen (847240)

“…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i>_<i>in</i> neuronal units. …”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. by Mengqi He (5753525)

“…(b, e) Root mean square error(), corresponding to fitting the time-dependent quarantine rate learned by TDINN algorithm using <i>q</i>₁(<i>t</i>), <i>q</i>₂(<i>t</i>) and <i>q</i>₃(<i>t</i>) in Hainan and Xinjiang. …”

Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

The skeleton algorithm identifies mitochondrial density in sample images from cells. by Margarita M. Ivanova (11604141)

Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data. by Junyi Zhou (495644)

Signal detection algorithm adapted from [1] yields exponential distributions and unrealistic mean durations of percepts. by Quynh-Anh Nguyen (847240)

“…(Bottom) Trial-by-trial applications of the signal detection algorithm from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>] with A: <i>C</i>_<i>th</i> = 4.01 and B: <i>C</i>_<i>th</i> = 4.21 yield exponentially distributed subsequent percept durations for <i>I</i> (blue) and <i>S</i> (red). …”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. by Mengqi He (5753525)

“…(b, e, h) Root mean square error(), corresponding to fitting the time-dependent quarantine rate learned by TDINN algorithm using <i>q</i>₁(<i>t</i>), <i>q</i>₂(<i>t</i>) and <i>q</i>₃(<i>t</i>) in Xi’an, Guangzhou and Yangzhou. …”

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

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Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 3 by Antoine Falisse (6061601)

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)