• LIBSVM

  • Referenced in 1185 articles [sw04879]
  • solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed...
  • SimpleMKL

  • Referenced in 68 articles [sw12290]
  • regression, clustering (one-class classification) or multiclass classification. Experimental results show that the proposed algorithm ... some model selection problems related to multiclass classification problems...
  • msgl

  • Referenced in 17 articles [sw26552]
  • classification. Suitable for high dimensional multiclass classification with many classes. The algorithm computes the sparse...
  • SVM

  • Referenced in 30 articles [sw14904]
  • each examples); SVM Classification with Nearest Point Algorithm; Multiclass SVM : one against all, one against...
  • mnlogit

  • Referenced in 7 articles [sw21116]
  • Hessian matrices. Motivated by large scale multiclass classification problems in econometrics and machine learning...
  • ofw

  • Referenced in 4 articles [sw10549]
  • Package to Select Continuous Variables for Multiclass Classification with a Stochastic Wrapper Method. When dealing ... package that implements, in the context of classification, the meta algorithm ”optimal feature weighting ... with the application of supervised multiclass classifiers such as classification and regression trees and support ... chosen to deal with unbalanced multiclasses, a common characteristic in microarray data sets...
  • BMR

  • Referenced in 2 articles [sw10668]
  • classification, ambiguously called multiclass classification, and occasionally mistakenly called multilabel classification...
  • BeamECOC

  • Referenced in 2 articles [sw38478]
  • Correcting Output Coding (ECOC) is a multiclass classification technique in which multiple binary classifiers...
  • GPCRpred

  • Referenced in 7 articles [sw22471]
  • server for recognition and classification of GPCRs based on multiclass SVMs has been...
  • regtools

  • Referenced in 1 article [sw27435]
  • multiclass classification. Nonparametric regression for general dimension, locally-linear option. Nonlinear regression with Eickert-White...
  • UBL

  • Referenced in 1 article [sw14862]
  • handle both regression and classification (binary and multiclass) tasks. Moreover, UBL package allows the user...
  • GenSVM

  • Referenced in 4 articles [sw14320]
  • generalized multiclass SVM called GenSVM is proposed, which can be used for classification problems where ... equal to 2. In the proposed method, classification boundaries are constructed ... method is compared to seven other multiclass SVM approaches on a large number of datasets...
  • adabag

  • Referenced in 7 articles [sw08024]
  • adabag: Applies multiclass AdaBoost.M1, AdaBoost-SAMME and Bagging. This package implements Freund and Schapire ... algorithm and Breiman’s Bagging algorithm using classification trees as individual classifiers. Once these classifiers...
  • KLIMT

  • Referenced in 5 articles [sw11027]
  • algorithm with KLIMT. The paper deals with multiclass learning from the perspective of analytically interpreting ... SASSC) algorithm with the interactive visualization of classification trees provided by the Klassification-Interactive Methods...
  • ImbTreeEntropy

  • Referenced in 2 articles [sw40352]
  • package for building entropy-based classification trees on imbalanced datasets. In this paper, we propose ... package, named ImbTreeEntropy, for building binary and multiclass decision trees using generalized entropy functions, such...
  • FuRIA

  • Referenced in 3 articles [sw25134]
  • discrimination of mental states, even for multiclass BCI. Once identified, the activity in these ... were interpretable and can lead to high classification accuracies...
  • ImbTreeAUC

  • Referenced in 2 articles [sw40353]
  • ImbTreeAUC: An R package for building classification trees using the area under the ROC curve ... package, named ImbTreeAUC, for building binary and multiclass decision tree using the area under...
  • LibCVM

  • Referenced in 1 article [sw18879]
  • label renaming supports BVM/CVM/CVM-LS for large-scale classification supports Core Vector Data Description (CVDD ... scale sparse least-squares regression Pending features: multiclass CVM/BVM probabilistic output estimation...
  • multiDA

  • Referenced in 1 article [sw41735]
  • which we call multiDA. Starting from multiclass diagonal DA classifiers which avoid the problem ... strengths of our model by showing strong classification performance on publicly available high-dimensional datasets...
  • ATLAS

  • Referenced in 199 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...