Block selection in multiblock partial least squares for modeling genotype-phenotype relations in Saccharomyces. [PDF]
Tahir M +4 more
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
A continuous kinematic calibration method for accuracy maintenance of industrial robot based on recursive least squares algorithm. [PDF]
Qiao G +4 more
europepmc +1 more source
A Minibatch Alternating Projections Algorithm for Robust and Efficient Magnitude Least-Squares RF Pulse Design in MRI. [PDF]
Martin JB +3 more
europepmc +1 more source
Least squares residual power series solutions for Kawahara and Rosenau-Hyman nonlinear wave interactions with applications in fluid dynamics. [PDF]
Hassan A +4 more
europepmc +1 more source
Mangrove Extraction Algorithm Based on Orthogonal Matching Filter-Weighted Least Squares. [PDF]
Li Y, Ma J, Fu D, Yuan J, Liu D.
europepmc +1 more source
Energy performance certificates impact on rent prices in the Czech Republic: Two-stage least squares approach. [PDF]
Mullen JK, Procházka P.
europepmc +1 more source
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Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression
2012Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table.
Hervé, Abdi, Lynne J, Williams
openaire +2 more sources

