Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

“…<p>Average function evaluation times of the three optimization algorithms.…”

Algorithm. by Daniel Sanchez-Taltavull (11654630)

Prediction performance of different optimization algorithms. by Ali-Kemal Aydin (10968731)

“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”

Framework of the proposed signal control algorithm. by Hyosun Lee (1567246)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

The benchmark functions. by Shuhui Yu (1535500)

HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

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

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Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

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Algorithm process of BPNN. by Xiaoxiang Cao (12644851)

Automatic cropping algorithm. by Thomas W Georgi (12427189)

Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

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Overview of the Cell2Spatial algorithm. by Huamei Li (8815955)

Subjects: “…minimizing assignment algorithm…”

Average accuracy (across all 12 subject) as a function of the number of eigenvectors obtained with different dimensionality reduction techniques for the best classifier—k-NN (see a... by Elnaz Lashgari (11278808)

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76]. by Daniela Huppenkothen (9174507)

“…We note that the middle row is a special case: here, <i>f</i>_target only corresponds to the proportions of the embedded cohort, while “success” for these two panels is defined as recovering maximally diverse cohorts, as this particular algorithm is designed to do. The bottom row shows the same simulations as the middle row, but presents successes and failures when the targets that generated the embedded cohort are applied instead of the balanced targets that are part of the baseline’s objective function. …”

Comparison of optimization performance of six ABC algorithms. by Shuhui Yu (1535500)

Sets of best performing parameters obtained after gridsearching through different values for each classification algorithm. by Adhiraj Nath (17118269)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

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Mathematical expressions, weight functions, domains, and orthogonality conditions of various orthogonal polynomials. by Abeer Aljohani (18497914)

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