
SNOPT
 Referenced in 556 articles
[sw02300]
 variables but a moderate number of degrees of freedom (say, up to 2000). An important...

SMAC
 Referenced in 90 articles
[sw27215]
 domain, such as which input variables are most important. We hope you find SMAC similarly...

DALEX
 Referenced in 11 articles
[sw26094]
 package. The variable_dropout() explainer calculates variable importance scores based on variable shuffling. All these...

HSLVF05
 Referenced in 73 articles
[sw36311]
 important subproblem for many nonlinear programming methods. When the number of variables is large...

Chebfun2
 Referenced in 41 articles
[sw12708]
 manipulate scalarvalued functions of two variables (Chebfun2 objects) and vectorvalued functions with ... practical fact: an important number of functions of two variables is of low rank...

Latent GOLD
 Referenced in 94 articles
[sw11673]
 dissimilar from each other in certain important ways. Formally, latent classes are represented ... distinct categories of a nominal latent variable X. Since the latent variable is categorical...

Hmisc
 Referenced in 46 articles
[sw04530]
 size and power, importing datasets, imputing missing values, advanced table making, variable clustering, character string...

LAS
 Referenced in 21 articles
[sw17180]
 data. The search for samplevariable associations is an important problem in the exploratory analysis ... dimensional data. Biclustering methods search for samplevariable associations in the form of distinguished submatrices...

GELDA
 Referenced in 33 articles
[sw00331]
 algebraic equations (DAEs) with variable coefficients of arbitrary index An important invariant in the analysis...

care
 Referenced in 7 articles
[sw19441]
 score is a natural measure of variable importance and provides a canonical ordering of variables...

ROCKET
 Referenced in 13 articles
[sw30016]
 Understanding complex relationships between random variables is of fundamental importance in highdimensional statistics, with ... often used to represent dependencies between random variables, where an edge between two random variables...

regRSM
 Referenced in 3 articles
[sw16955]
 package regRSM. Model selection and variable importance assessment in highdimensional regression are among ... most important tasks in contemporary applied statistics. In our procedure, implemented in the package regRSM ... used to construct a variable importance measure. The variables are ordered with respect...

CONLIN
 Referenced in 47 articles
[sw14151]
 current subspace of non zero dual variables, its dimensionality is usually reasonably small. Clearly ... line search process is necessary. An important advantage of the proposed maximization method lies ... performed with reduced sets of primal variables and dual variables. Furthermore, an appropriate active...

RF++
 Referenced in 4 articles
[sw15909]
 statistically valid fashion. RF++ also identifies important variables (biomarkers) in datasets with large numbers...

modelDown
 Referenced in 3 articles
[sw29413]
 important for a given model (tabs: Variable Importance). We can also compare Concept Drift...

SINBAD
 Referenced in 3 articles
[sw08729]
 regularities. Any neural representation in which such variables are represented only implicitly (thus requiring extra ... learn. The task of discovering such important environmental variables is not an easy one since ... variables, this being indicative of some important environmental variable that is responsible for the correlation...

MOSSFARM
 Referenced in 2 articles
[sw02750]
 presents a new method for selecting important variables (regressors) in nonlinear (dynamic) models with mixed ... mining. The selection process of the important variables is based on two interesting measures...

ordinalForest
 Referenced in 3 articles
[sw26301]
 means of the (permutationbased) variable importance measure of OF, it is also possible ... their importances in the prediction of the values of the ordinal target variable...

NeuralNetTools
 Referenced in 3 articles
[sw15142]
 Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining...

RSKC
 Referenced in 3 articles
[sw23852]
 large fraction of noise variables (that is, variables without useful information to separate the clusters ... means regarding the selection of important variables and identification of clusters. Our simulation study shows...