Posterior for parameters <i>θ</i> of the bimodal toy model for different weights in the ABC distance function. by Jonathan U. Harrison (5447603)

“…<p>The posterior distribution for parameters <i>θ</i> = (<i>θ</i>₁, <i>θ</i>₂) of the bimodal toy model for different weights in the ABC distance function is shown in (a) and (b). ABC-SMC was used to provide estimates of the posterior, with <i>T</i> = 10 generations and <i>N</i> = 2, 000 particles at each generation with the posterior constructed from the closest 50% of the simulations (<i>α</i> = 0.5). …”

Illustration of the function of movement definition in NeuroMotion. by Shihan Ma (9362796)

Optimal model generation algorithm. by Anton Sobinov (9854047)

“…<b>C</b>. The optimization flow schematic showing the flow of calculations using the amalgamated algorithm of model generation with physical constraint. …”

Pose errors of 5PUS-RPUR robot with different algorithms. by Zesheng Wang (15244172)

Recombinant mapping narrows region of interest to identify a loss-of-function allele of <i>mttp.</i> by McKenna Feltes (11242085)

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Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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Comparison of different algorithms. by Jiandong Qiu (20389944)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

The variation process of various loss functions before and after model improvement. by Zhenwei Li (834360)

Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art DE variants using CEC2014 functions. by Yang Cao (53545)

“…<p>Wilcoxon’s test results for EBJADE algorithms and other state-of-the-art DE variants using CEC2014 functions.…”

Denoising evaluation indicators for fingerprint images using different algorithms. by Bingbing Li (461702)

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Structural changes of images after denoising using different algorithms. by Bingbing Li (461702)

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An Example for applying LCDG algorithm MRI 3-D volumes. by Samineh Mesbah (4506406)

“…<p>LCDG algorithm output on (a) exemplary 3D FS-MRI image data; (b) probability density functions of the image voxels in Fig 2A, as determined empirically, and as approximated via LCDG using two dominant DGs; (c) the deviations (standard and absolute) between the empirical and estimated marginal probability density functions in Fig 2B; (d) LCDG algorithm output on the dominant and subordinate DGs in the image data in Fig 2A; (e) the final estimated LCDG model of the empirical density function; and (f) the final LCDG output of the conditional probability density functions of light tissue (muscle) and dark tissue (fat) intensities and the empirical density function.…”

Tracking the discrete cluster assignment derived from HAC according to the linkage function used applied to the −log₂ IBD distance matrix. by James A. Watson (7305206)

“…Average linkage was arbitrarily chosen as the ‘reference’ method (any of four linkage functions could be used). These colours are then used to produce stacked barplots for cluster membership derived from three other algorithm specifications (complete, single and Ward’s criterion, panels B-D, respectively).…”

Attack and defense behaviors between a single predator and a single prey using the sensory–motor algorithm. by Hiroyuki Ichijo (13891153)

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TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output. by Bradley Crone (19346873)

Three images of fingerprint patterns. by Bingbing Li (461702)

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Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

Genetic algorithm flowchart. by Junjie He (700642)

Subjects: “…coverage attenuation function…”

Power flow and cost optimization with APSO variant-16 of APSO algorithm (b). by Muhammad Ahmad Iqbal (11851338)

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