The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

Subjects:

The IALO algorithm solution flowchart. by Wenjing Wang (181404)

Subjects:

Ratio STD/mean as a function of for different <i>α</i>. by Luca Maria Del Bono (20479625)

STD/mean(∞;<i>α</i>) and <i>c</i>(<i>α</i>) coefficients as a function of <i>α</i>. by Luca Maria Del Bono (20479625)

Ratio STD/mean as a function of <i>α</i> for different <i>N</i>_<i>p</i>. by Luca Maria Del Bono (20479625)

STD and STD/mean as a function of <i>N</i>_<i>p</i> for distribution of points with added noise. by Luca Maria Del Bono (20479625)

“…<p>STD (a) and STD/mean (b) as a function of <i>N</i>_<i>p</i> for distribution of points with added noise, before and after GD. …”

Results of searching performance of different algorithm models on the Sphere function and Griewank function. by Rui Zhang (13940)

“…<p>Results of searching performance of different algorithm models on the Sphere function and Griewank function.…”

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

Brief sketch of the quasi-attraction/alignment algorithm. by Takayuki Niizato (162226)

“…(B) A sketch of the cover function, which returns the minimum cap on the interaction sphere , which covers all points <b><i>p</i></b>_<i>i</i> (for the mathematical definition, see the Section 2 in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010869#pcbi.1010869.s008" target="_blank">S1 Appendix</a>). …”

Analogues on the Sphere of the Affine-Equivariant Spatial Median by Janice L. Scealy (8490687)

“…<p><b>Robust estimation of location for data on the unit sphere</b><math><mrow><mrow><mi>S</mi></mrow><mrow><mi>p</mi><mo>−</mo><mn>1</mn></mrow></mrow></math><b>is an important problem in directional statistics even though the influence functions of the sample mean direction and other location estimators are bounded. …”

Logarithmic mean convergence curves of different algorithms. by Wei Liu (20030)

Comparison of different methods. by Wenjing Wang (181404)

Subjects:

Fig 7 is completed by the representation of a diffusive random walk under the approximation of a <i>δ</i>-sphere random walk. by Jean Marc Tregan (15195173)

Performance validation of different algorithms in two benchmark functions. by Wenjing Wang (181404)

Subjects:

Data_Sheet_1_Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms.pdf by Alejandro O. Blenkmann (13914651)

“…This allows the investigation of normal and pathological brain functions with excellent spatial and temporal resolution. …”

Algorithm membership function. by Mohamed Raef Smaoui (9865830)

“…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”

Selected features via our feature selection algorithm for baseline vs. VNS at 10 Hz (first scenario) and organized in a descending sequence of significance, as established by the R... by Mahmoud Zeydabadinezhad (12289570)

Subjects:

Selected features via our feature selection algorithm for baseline vs. VNS at 30 Hz (second scenario) and organized in a descending sequence of significance, as established by the... by Mahmoud Zeydabadinezhad (12289570)

Subjects:

Comparison of convergence curves of different algorithms. by Wenjing Wang (181404)

Subjects:

Fig 1 - by Mahmoud Zeydabadinezhad (12289570)

Subjects: