• HandTill2001

  • Referenced in 72 articles [sw11200]
  • under the ROC curve for multiple class classification problems The area under the ROC curve ... widely used measure of performance of supervised classification rules. It has the attractive property that...
  • fda.usc

  • Referenced in 64 articles [sw14011]
  • measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance...
  • HDclassif

  • Referenced in 19 articles [sw11114]
  • package HDclassif: High Dimensional Supervised Classification and Clustering. Discriminant analysis and data clustering methods...
  • Rmixmod

  • Referenced in 26 articles [sw13560]
  • functions designed to run supervised and unsupervised classification with MIXture MODelling...
  • AUTO-MUTE

  • Referenced in 9 articles [sw16878]
  • amino acid replacements. Utilizing cutting-edge supervised classification and regression algorithms, three web-based tools...
  • VSURF

  • Referenced in 7 articles [sw27884]
  • dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate...
  • Medlda

  • Referenced in 13 articles [sw11723]
  • topical representations of the data. However, existing supervised topic models predominantly employ likelihood-driven objective ... suitable for prediction tasks such as document classification or regression. The principle underlying the MedLDA ... directed or undirected topic models when supervising side information is available. Efficient variational methods ... more efficient than existing supervised topic models, especially for classification...
  • PCP

  • Referenced in 4 articles [sw30033]
  • program for supervised classification of gene expression profiles. Summary: PCP (Pattern Classification Program ... open-source machine learning program for supervised classification of patterns (vectors of measurements). The principal...
  • FADA

  • Referenced in 4 articles [sw16021]
  • package FADA: Variable Selection for Supervised Classification in High Dimension. The functions provided ... Discriminant Analysis) package aim at performing supervised classification of high-dimensional and correlated profiles...
  • depthTools

  • Referenced in 6 articles [sw19773]
  • single distribution and two methods of supervised classification techniques, the DS and TAD methods...
  • Learn++.MF

  • Referenced in 5 articles [sw37993]
  • address the missing feature problem in supervised classification. Unlike most established approaches, Learn++.MF does...
  • ReGEC_L1

  • Referenced in 4 articles [sw21825]
  • eigenvalues classifier with embedded feature selection. Supervised classification is one of the most used methods...
  • ADMM-Softmax

  • Referenced in 4 articles [sw32744]
  • problems. Our method is geared toward supervised classification tasks with many examples and features...
  • SimpleMKL

  • Referenced in 69 articles [sw12290]
  • kernel and the associated predictor in supervised learning settings. For the support vector machine ... SimpleMKL can be applied beyond binary classification, for problems like regression, clustering (one-class classification...
  • libagf

  • Referenced in 5 articles [sw05808]
  • implementation of variable bandwidth kernel estimators for classification, PDF estimation and interpolation. The library incorporates ... fastest and most accurate supervised statistical classification algorithms in the world. These include: matching kernel...
  • graph2vec

  • Referenced in 10 articles [sw32340]
  • task such as graph classification, clustering and even seeding supervised representation learning approaches. Our experiments ... show that graph2vec achieves significant improvements in classification and clustering accuracies over substructure representation learning...
  • CMA

  • Referenced in 3 articles [sw17863]
  • comprehensive Bioconductor package for supervised classification with high dimensional data. Background: For the last eight...
  • SemiBoost

  • Referenced in 7 articles [sw43049]
  • SemiBoost: Boosting for Semi-Supervised Learning. Semi-supervised learning has attracted a significant amount ... improve the classification accuracy of any given supervised learning algorithm by using the available unlabeled ... approach are: 1) performance improvement of any supervised learning algorithm with a multitude of unlabeled ... both manifold and cluster assumption in training classification models. An empirical study on 16 different...
  • PPforest

  • Referenced in 2 articles [sw25295]
  • Implements projection pursuit forest algorithm for supervised classification...
  • RTextTools

  • Referenced in 3 articles [sw21193]
  • package RTextTools: Automatic Text Classification via Supervised Learning. RTextTools is a machine learning package...