Row/column sparseADMM algorithmIn this paper, we consider the trace regression model with matrix covariates, where the parameter is a matrix of simultaneously low rank and row(column) sparse. To estimate the parameter, we formulate a convex optimization problem with the nuclear norm and group ...
12656 Enables the automatic plan correction (APC) model of the automatic tuning feature to use a time-based plan regression check that will occur five minutes after a plan change is detected, which avoids biasing the regression checks by queries that execute quickly. This allows APC to take i...
Joarder AH, Singh Sarjinder (1996) Estimation of the trace of the scale matrix of a multivariate t-model using regression estimator. Statistics 28:161±168Joarder AH (1995) Estimation of the trace of the scale matrix of a multivariate t-model. Pro- ceeding of the Econometrics Conference at...
To gain insight into the structure, subunit composition, and physiological functions of the fourA. brierleyihydrogenases, we modeled their structures using AlphaFold2 Multimer58,59. The results of this modeling are discussed in detail in Supplemental Note1and summarized here. The models of both Hca...
Using nonlinear regression to estimate the model parameters, we compared the performance of the non-steady-state diffusive flux estimator (NDFE) to that of the linear, quadratic, and steady-state diffusion models that are widely cited in the literature, determined its sensitivity to violation of ...
Generalized Ridge Trace Plots for Ridge Regression Version 0.7.0 What is ridge regression? Consider the standard linear model,y=X;β+ϵforppredictors in a multiple regression. In this context, high multiple correlations among the predictors lead to well-known problems of collinearity under ordinar...
In vivo two-photon calcium imaging is a powerful approach in neuroscience. However, processing two-photon calcium imaging data is computationally intensive and time-consuming, making online frame-by-frame analysis challenging. This is especially true for
Dashed parabolas are lattice strain fits, calculated by linear least squares regression. Red dots correspond to data points, that were not included into the fits (e.g., Eu). Cobalt, Ni, Zn, and Pb are also not included into the fits, as they might enter the M2 side in clinopyroxene. ...
Structure-oriented texture model regression: Application to seismic structure visualization and interpretation Regular wiggle-trace imagery of seismic amplitude has hampered interpreters' ability to visualize structural details due to the low dominant frequency and signal-to-noise ratio of the image. To ov...
In some implementations described herein the supervised learning method includes a support vector machine (SVM) although other methods, for example including decision trees and/or Gaussian process regression may be used in some instances. Various OS, e.g., Windows™, Mac™ OS, and Linux™ ...