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

Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

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Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

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Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

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Fitness function parameters. حسب Ankita Sharma (3183054)

Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

"…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"

Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) حسب L. D. Marks (1949689)

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Algorithm operation steps. حسب Junyan Wang (4738518)

Step by step comparison of enrichment algorithms. حسب Nicholas Markarian (18251668)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

"…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …"

Functional PCA With Covariate-Dependent Mean and Covariance Structure حسب Fei Ding (134577)

"…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …"

Execution Steps of the EOF Algorithm. حسب Zezhi Lin (22521663)

Loss functions between PCA-DNN model and PCA-LSTM model. حسب Cihun-Siyong Alex Gong (11874066)

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

"…Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …"

The main steps of the general algorithm. حسب Dror Mughaz (18017583)

The number of inactive nodes as a function of time steps in (a) a random network and (b) a scale-free network. حسب Waseem Al-Aqqad (14123917)

PCA of full simulated repertoire using sequence descriptors. حسب Katharina Waury (14203284)

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Explained variance ration of the PCA algorithm. حسب Abeer Aljohani (18497914)

Steps in the proposed Apriori algorithm. حسب Yongkang Ding (21807539)

Overlays of the gates drawn for the same 12 samples sorted both by hand and with the automation show similar gated populations. حسب Diane M. Wiener (1956583)

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