Population <i>versus</i> success rate for the Rosenbrock function. حسب Rutinaldo Aguiar Nascimento (14259594)

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Population <i>versus</i> success rate for the Rastrigin function. حسب Rutinaldo Aguiar Nascimento (14259594)

الموضوعات:

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

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Comparison against the commercial scanner. حسب Swathi Lakshmi Balasubramanian (12078093)

Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... حسب Marc Durand (556746)

“trend+var” algorithm. حسب Roman Olson (6577004)

Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. حسب Yuh-Chin T. Huang (17867207)

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Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. حسب Martina Bukač (20161460)

Detailed information of benchmark functions. حسب Guangwei Liu (181992)

"…In Case 1, the GJO-GWO algorithm addressed eight complex benchmark functions. …"

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

An example of our color correction algorithm (with primary surface function <i>f</i>₁). حسب Guixiang Zhang (383795)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" حسب Saeed Parsa (13893726)

"…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…"

Table_1_Clinical Functional Seizure Score (CFSS): a simple algorithm for clinicians to suspect functional seizures.DOCX حسب Mohammad Dashtkoohi (15417886)

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. حسب Yao Peng (1928524)

"…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"

Dropping functions <i>d</i>₁-<i>d</i>₈. حسب Marek Barczyk (12029714)

Convergence curves of the mean function error values for six test functions at <i>D</i> = 30. حسب Meijun Duan (7461293)

Performance of tpopt function for finding <i>T</i>-optimal designs. حسب Ray-Bing Chen (700703)

Performance comparison of algorithms in ZDT5 and ZDT6 function tests. حسب Tao Dong (15551)

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. حسب Tao Dong (15551)

datasheet2_Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces.zip حسب Santiago Hernández-Orozco (5070209)

"…In doing so we use examples which enable the two approaches to be compared (small, given the computational power required for estimations of algorithmic complexity). We find and report that 1) machine learning can successfully be performed on a non-smooth surface using algorithmic complexity; 2) that solutions can be found using an algorithmic-probability classifier, establishing a bridge between a fundamentally discrete theory of computability and a fundamentally continuous mathematical theory of optimization methods; 3) a formulation of an algorithmically directed search technique in non-smooth manifolds can be defined and conducted; 4) exploitation techniques and numerical methods for algorithmic search to navigate these discrete non-differentiable spaces can be performed; in application of the (a) identification of generative rules from data observations; (b) solutions to image classification problems more resilient against pixel attacks compared to neural networks; (c) identification of equation parameters from a small data-set in the presence of noise in continuous ODE system problem, (d) classification of Boolean NK networks by (1) network topology, (2) underlying Boolean function, and (3) number of incoming edges.…"