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

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

Convergence curves of different algorithms on the benchmark functions. by Aihua Guo (13267712)

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.…”

PCA2GO Functional Annotation of Immune biological functions significantly enriched p<10E-10) in Stage 1 and stage 2 r-HAT cases. by Peter Nambala (7245215)

Subjects:

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. by Sebastian Goldt (14522594)

“…<p>We plot the mse per pattern obtained by the AMP algorithm, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e072" target="_blank">Eq (32)</a>, as a function of the effective noise Δ (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e032" target="_blank">9</a>), for random (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e044" target="_blank">15</a>) and informed (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010813#pcbi.1010813.e045" target="_blank">16</a>) initialisations. …”

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. …”

Loss functions between PCA-DNN model and PCA-LSTM model. by Cihun-Siyong Alex Gong (11874066)

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

Iteration versus fitness function. by B. Venkatesh (17202747)

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)

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

“…(D) A brief sketch of the avoidance algorithm. Upper: Each direction is extended to the repulsion area = {<b><i>r</i></b>||<b><i>r</i></b>| = <i>R</i>}, where is the minimal sphere cap that covers all points on . …”

Principal component analysis (PCA) of sub-layer mean intensities. by Maëlle Vilbert (17101954)

Testing function diagram of QIMPN-PCA-DC. by Jun Zhao (59250)

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

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

Subjects:

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. by Cihun-Siyong Alex Gong (11874066)

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

Subjects: