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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm steps » algorithm shows (Expand Search), algorithm models (Expand Search)
python function » protein function (Expand Search)
steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm steps » algorithm shows (Expand Search), algorithm models (Expand Search)
python function » protein function (Expand Search)
steps function » step function (Expand Search), its function (Expand Search), cep function (Expand Search)
algorithm pca » algorithm a (Expand Search), algorithm cl (Expand Search), algorithm co (Expand Search)
pca function » gpcr function (Expand Search), a function (Expand Search), fc function (Expand Search)
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Functional PCA With Covariate-Dependent Mean and Covariance Structure
Published 2022“…<p>Incorporating covariates into functional principal component analysis (PCA) can substantially improve the representation efficiency of the principal components and predictive performance. …”
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Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA.
Published 2023“…<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. …”
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Comparison of algorithm search curves.
Published 2023“…Finally, through dynamic adaptive cuckoo search (DACS), the step size is automatically adjusted according to the convergence speed of the objective function of RBF, and the efficiency and accuracy of RBF in different search stages are balanced. …”