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

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

"…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …"

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

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

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. حسب Cihun-Siyong Alex Gong (11874066)

Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب 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. …"

Genes that contribute to PCA and GO terms of enriched and differentially expressed genes. GO, gene ontology; PCA, principal component analysis. حسب Tomokatsu Udagawa (11675636)

الموضوعات:

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

الموضوعات:

PCA of full simulated repertoire using sequence descriptors. حسب Katharina Waury (14203284)

الموضوعات:

PCA calculation FRHGs score. حسب Lixia Chen (614030)

الموضوعات:

Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study حسب Tháfanys S. Travezani (20609398)

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

Functional PCA With Covariate-Dependent Mean and Covariance Structure حسب Fei Ding (134577)

"…However, many existing functional PCA methods do not make use of covariates, and those that do often have high computational cost or make overly simplistic assumptions that are violated in practice. …"

Effective cluster radius from Ripley’s H-function for the NPC dataset. حسب Daniel F. Nino (9745709)

Principal Component Analysis (PCA) of the independent dataset from the HPC cohort. حسب Erica A. K. DePasquale (11851483)

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

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

Algorithm used for important sampling of the likelihood function. حسب Zhiyong Huang (3620000)