
SNOPT
 Referenced in 518 articles
[sw02300]
 variables but a moderate number of degrees of freedom (say, up to 2000). An important...

SMAC
 Referenced in 58 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...

Latent GOLD
 Referenced in 93 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...

HSLVF05
 Referenced in 64 articles
[sw36311]
 important subproblem for many nonlinear programming methods. When the number of variables is large...

Chebfun2
 Referenced in 34 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...

Hmisc
 Referenced in 41 articles
[sw04530]
 size and power, importing datasets, imputing missing values, advanced table making, variable clustering, character string...

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

LAS
 Referenced in 18 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...

care
 Referenced in 6 articles
[sw19441]
 score is a natural measure of variable importance and provides a canonical ordering of 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 46 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...

ROCKET
 Referenced in 11 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...

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...

VIP Analysis
 Referenced in 17 articles
[sw16227]
 Additive aggregation with variable interdependent parameters: the VIP analysis software. We consider the aggregation ... importance parameters. These parameters can be seen as interdependent variables that may take several values...

Kaskade7
 Referenced in 38 articles
[sw06545]
 works with different grid managers. An important feature is the mixandmatch approach ... different ansatz and test spaces for all variables. The library is under active development, features...