TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

“…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Phase diagram for global archetype model as a function of temperature. by Giulio Ruffini (383994)

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

A bar chart for the values of objective function—Phase I. by Fadi K. Dib (5204807)

A bar chart for the number of function evaluations—Phase I. by Fadi K. Dib (5204807)

Fitting results of the different optimization algorithms applied. by Sonja Langthaler (6069149)

WSN optimized by different algorithms. by Qingwen Meng (156386)

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Compare algorithm parameter settings. by Qingwen Meng (156386)

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Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Comparison between simulations for all algorithms and for all cases (1, 2 and 3). by Rutinaldo Aguiar Nascimento (14259594)

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Convergence curves of the mean function error values for <i>f</i>₁, <i>f</i>₁₇, <i>f</i>₂₅ and <i>f</i>₃₁ at <i>D</i> = 30, 50, 100. by Xuxu Zhong (10099054)

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TV-BayesOpt algorithm performance for tracking a superimposed (gradual and periodic) drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*. by John E. Fleming (8533956)

“…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”

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

Flowchart outlining the spectral analysis reconstruction algorithm for quantitative phase imaging using non-telecentric DHM systems. by Brian Bogue-Jimenez (16954568)

Subjects: “…developed computational algorithm…”

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

The results of Wilcoxon’s rank-sum test between DEGH with <i>F</i> = 0.3 and DEGHs with different <i>F</i> values. by Xuxu Zhong (10099054)

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Effect of <i>|Δd</i>_<i>n</i><i>|</i> perturbation on 3D modeling. by Giacomo Janson (8138517)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”