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)

Blood glucose risk index function. حسب Phuwadol Viroonluecha (13783106)

الموضوعات:

Algorithm membership function. حسب Mohamed Raef Smaoui (9865830)

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

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)

PCA calculation FRHGs score. حسب Lixia Chen (614030)

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)

Effect of model hyperparameters on decision function. حسب Bernhard Vennemann (7434353)

الموضوعات:

Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

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. …"

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. …"

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning حسب Bernhard Vennemann (7434353)

الموضوعات:

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

Comparison of deconvolution and optimization algorithms on a batch of data. حسب Ali-Kemal Aydin (10968731)

"…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"

Algorithm for solving Eq (7). حسب Yanfang Xue (547585)

Algorithm for solving Eq (12). حسب Yanfang Xue (547585)

Top 10 largest attribute coefficients in the logistic decision function. حسب Irene Unceta (9596422)