Pages that link to "Item:Q2955846"

The following pages link to Principal component analysis: a review and recent developments (Q2955846):

Displaying 45 items.

• Machine learning for material characterization with an application for predicting mechanical properties (Q6068271) (← links)
• Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper (Q6080965) (← links)
• New precise model of studentized principal components (Q6082470) (← links)
• Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach (Q6086605) (← links)
• On some limitations of probabilistic models for dimension‐reduction: Illustration in the case of probabilistic formulations of partial least squares (Q6089390) (← links)
• A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction (Q6089883) (← links)
• Unsteady reduced order model with neural networks and flight-physics-based regularization for aerodynamic applications (Q6093461) (← links)
• Multifidelity uncertainty quantification with models based on dissimilar parameters (Q6096437) (← links)
• Model-driven identification framework for optimal constitutive modeling from kinematics and rheological arrangement (Q6096450) (← links)
• Reduction methods in climate dynamics -- a brief review (Q6102437) (← links)
• \(\mathrm{C_{enet}Biplot}\): a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD (Q6106142) (← links)
• Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation (Q6106437) (← links)
• qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits (Q6107758) (← links)
• Stochastic Gauss-Newton algorithms for online PCA (Q6111665) (← links)
• A joint-norm distance metric 2DPCA for robust dimensionality reduction (Q6121662) (← links)
• Linear Convergence of a Proximal Alternating Minimization Method with Extrapolation for \(\boldsymbol{\ell_1}\) -Norm Principal Component Analysis (Q6158000) (← links)
• The max-out min-in problem: a tool for data analysis (Q6164596) (← links)
• Clustering of variables methods and measurement models for soccer players' performances (Q6170865) (← links)
• Polynomial whitening for high-dimensional data (Q6178887) (← links)
• Envelopes and principal component regression (Q6184884) (← links)
• Dual order-reduced Gaussian process emulators (DORGP) for quantifying high-dimensional uncertain crack growth using limited and noisy data (Q6194158) (← links)
• Approximation of almost diagonal non-linear maps by lattice Lipschitz operators (Q6195227) (← links)
• Physics-informed machine learning method with space-time Karhunen-Loève expansions for forward and inverse partial differential equations (Q6196622) (← links)
• A dimensionality reduction and layout optimization scheme for grid-stiffened structures (Q6495566) (← links)
• Regressing bubble cluster dynamics as a disordered many-body system (Q6498586) (← links)
• Supervised time series classification for anomaly detection in subsea engineering (Q6500018) (← links)
• Mean-semivariance portfolio optimization using minimum average partial (Q6547044) (← links)
• The chaotic milling behaviors of interacting swarms after collision (Q6550721) (← links)
• A discrete group teaching optimization algorithm for solving many-objective sand casting whole process production scheduling problem (Q6551183) (← links)
• A joint learning framework for optimal feature extraction and multi-class SVM (Q6554869) (← links)
• Knowledge-based learning of nonlinear dynamics and chaos (Q6562228) (← links)
• Optimal modeling of nonlinear systems: method of variable injections (Q6563254) (← links)
• Data-driven optimization for seismic-resilient power network planning (Q6568421) (← links)
• A practical algorithm for volume estimation based on billiard trajectories and simulated annealing (Q6579766) (← links)
• When data driven reduced order modeling meets full waveform inversion (Q6585280) (← links)
• Improved quaternion robust principal component analysis for color image recovery (Q6591702) (← links)
• Neuroimaging statistical approaches for determining neural correlates of Alzheimer's disease via positron emission tomography imaging (Q6602020) (← links)
• The state-of-the-art on tours for dynamic visualization of high-dimensional data (Q6602368) (← links)
• Pseudo-rate matrices, beyond Dayhoff's model (Q6606392) (← links)
• Parameter clustering in Bayesian functional principal component analysis of neuroscientific data (Q6627875) (← links)
• A comparison of multiple imputation strategies for handling missing data in multi-item scales: guidance for longitudinal studies (Q6627963) (← links)
• Graphical models for mean and covariance of multivariate longitudinal data (Q6627998) (← links)
• A principal-weighted penalized regression model and its application in economic modeling (Q6662620) (← links)
• Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data (Q6664473) (← links)
• A reduced-order model for advection-dominated problems based on the Radon cumulative distribution transform (Q6667677) (← links)