• SMS-EMOA

  • Referenced in 94 articles [sw11894]
  • EMOA: multiobjective selection based on dominated hypervolume. The hypervolume measure (or SS metric ... steady-state EMOA is proposed that features a selection operator based on the hypervolume measure...
  • sparcl

  • Referenced in 51 articles [sw16353]
  • Tibshirani (2010): ”A framework for feature selection in clustering”; published in Journal of the American...
  • YALMIP

  • Referenced in 1033 articles [sw04595]
  • multi-parametric programming, geometric programming The main features of YALMIP are: Easy to install since ... Automatic categorization of problems, and automatic solver selection Supports numerous external solvers, both free...
  • SVM

  • Referenced in 30 articles [sw14904]
  • estimate, radius/margin); Wavelet Kernel; SVM Based Feature Selection; Kernel PCA; Kernel Discriminant Analysis; SVM Based ... Feature selection; SVM AUC Optimization (Ranking SVM, ROC SVM) and RankBoost; Kernel Basis Pursuit...
  • boost

  • Referenced in 41 articles [sw35655]
  • highly correlated input variables, perform feature selection and provide class probability estimates that serve...
  • ORSEE

  • Referenced in 176 articles [sw11710]
  • features are: multiple experimenter/laboratory/subjectpool/experiment classes/language support, attribute query selection, random recruitment, public and internal experiment...
  • iPro54-PseKNC

  • Referenced in 32 articles [sw22411]
  • further optimized by the incremental feature selection procedure. The performance of iPro54-PseKNC was examined...
  • Boolector

  • Referenced in 31 articles [sw00085]
  • theories. We present the architecture and selected features of Boolector, which is an efficient...
  • mlr

  • Referenced in 31 articles [sw12357]
  • problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • used for model-free variable selection. BART’s many features are illustrated with a bake...
  • CASL

  • Referenced in 174 articles [sw02235]
  • main features are as follows: Casl is based on a critical selection of known constructs...
  • iNuc-PhysChem

  • Referenced in 24 articles [sw22453]
  • vector via the IFS (incremental feature selection) procedure to optimize the feature...
  • Boruta

  • Referenced in 16 articles [sw08032]
  • wrapper algorithm for all-relevant feature selection. Boruta is an all-relevant feature selection wrapper...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • used for model-free variable selection. BART’s many features are illustrated with a bake...
  • XPath

  • Referenced in 374 articles [sw15780]
  • XPath expression may be a selection of nodes from the input documents, or an atomic ... language derives from its most distinctive feature, the path expression, which provides a means...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • that impact your model with sequential feature selection, transform your data with principal component analysis...
  • FSMRDE

  • Referenced in 9 articles [sw22250]
  • relative decision entropy-based feature selection approach. Rough set theory has been proven ... effective tool for feature selection. To avoid the exponential computation in exhaustive methods, many heuristic ... feature selection algorithms have been proposed in rough sets. However, these algorithms still suffer from ... paper, we propose a novel heuristic feature selection algorithm (called FSMRDE) in rough sets...
  • msgl

  • Referenced in 17 articles [sw26552]
  • with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable...
  • SparseFIS

  • Referenced in 11 articles [sw13736]
  • conducts a clustering process in the input/output feature space with iterative vector quantization and projects ... thereby, switching off (eliminating) some rules (rule selection). The third phase estimates the linear consequent ... parameters to be 0, triggering a feature-selection mechanism per rule. Global feature selection...
  • CLIFF

  • Referenced in 10 articles [sw35898]
  • features, and uses this ranking to select the features to be used in the following ... partition on the basis of the selected features. On a well-studied problem involving ... approaches that do not consider the feature selection issue, and produces a result that...