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)

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

The probability density function for cost function g(X). by Matheus Sant’Ana Lima (9937809)

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

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

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)

Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

“…<p><b>A</b> Example matrices for N = 50 neurons, given a density of 50% in the lower triangle<b>. B</b> Performance of the algorithm as a function of the number of neurons. …”

Probability density functions (PDFs) of the simulated surveillance noise. by Sandor Beregi (22177739)

Schematic illustration of intensity functions and inter-event time densities. by Gerrit Großmann (9585147)

Cumulative distribution function of different algorithms after interpolation. by Ruiyi Tang (10302578)

Probability density distribution. by Jianpeng Zhang (528185)

The skeleton algorithm identifies mitochondrial density in sample images from cells. by Margarita M. Ivanova (11604141)

Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

Subjects:

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... by O. E. Bryzgunova (6577043)

PCA calculation FRHGs score. by Lixia Chen (614030)

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

Functional PCA With Covariate-Dependent Mean and Covariance Structure by 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. …”

Analytic Gradients for Density Fitting MP2 Using Natural Auxiliary Functions by Klára Petrov (19251734)

Subjects:

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …”