The Precision-Recall curve of both the models. حسب Aastha Vatsyayan (9981916)

الموضوعات:

Comparison of the performance of both models against 13 other models on the independent test dataset. حسب Aastha Vatsyayan (9981916)

الموضوعات:

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. …"

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

"…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …"

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)

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)

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Final assignment algorithm. حسب Negin Alisoltani (11949357)

Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. حسب Konstantina Charmpi (9901053)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

ROI setting diagram for AI calculation and optimization verification results. حسب Tsutomu Gomi (7382183)

الموضوعات:

Functions of genes, detected simultaneously in 3 "diseased" blocks («Prostate Disease», «PCa», «Not PCa») and missing in the "Healthy" block and one gene (HRAS), found only in the... حسب O. E. Bryzgunova (6577043)

Optimized algorithm framework diagram. حسب Xutao Liu (13006965)

الموضوعات:

Recommended analysis pipeline for estimating the dimensionality of multi-electrode array recordings. حسب Ege Altan (11768156)

PCA calculation FRHGs score. حسب Lixia Chen (614030)

Dataset for 'An Automated Workflow of Deep Learning Ensemble Model with Principal Component Analysis for Enhanced Material Characterisation in Energy Dispersive Spectroscopy' حسب Fanzhi Su (21005174)

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)