• SNOPT

  • Referenced in 531 articles [sw02300]
  • variables but a moderate number of degrees of freedom (say, up to 2000). An important...
  • SMAC

  • Referenced in 61 articles [sw27215]
  • domain, such as which input variables are most important. We hope you find SMAC similarly...
  • DALEX

  • Referenced in 12 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...
  • HSL-VF05

  • Referenced in 68 articles [sw36311]
  • important subproblem for many nonlinear programming methods. When the number of variables is large...
  • Chebfun2

  • Referenced in 38 articles [sw12708]
  • manipulate scalar-valued functions of two variables (Chebfun2 objects) and vector-valued functions with ... practical fact: an important number of functions of two variables is of low rank...
  • Hmisc

  • Referenced in 43 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 19 articles [sw17180]
  • data. The search for sample-variable associations is an important problem in the exploratory analysis ... dimensional data. Biclustering methods search for sample-variable 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 high-dimensional 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...
  • ROCKET

  • Referenced in 11 articles [sw30016]
  • Understanding complex relationships between random variables is of fundamental importance in high-dimensional 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 (permutation-based) 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 39 articles [sw06545]
  • works with different grid managers. An important feature is the mix-and-match approach ... different ansatz and test spaces for all variables. The library is under active development, features...