• AdaBoost-SAMME

  • Referenced in 20 articles [sw19134]
  • going from two-class to multi-class classification, most algorithms have been restricted to reducing ... multi-class classification problem to multiple two-class problems. We develop a new algorithm that ... minimizes a novel exponential loss for multi-class classification. Furthermore, we show that the exponential ... Fisher-consistent loss functions for multi-class classification. As shown in this paper...
  • LiblineaR

  • Referenced in 4 articles [sw25718]
  • linear SVM) as well as L1-regularized classification (such as L2-loss linear ... main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer...
  • SVM Toolbox

  • Referenced in 9 articles [sw14742]
  • evaluations for efficiency. Support for multi-class support vector classification using max wins, pairwise...
  • Multi-imbalance

  • Referenced in 1 article [sw33185]
  • source software for multi-class imbalance learning, Knowledge-Based Systems. Imbalance classification ... class imbalance classification are relatively mature nowadays, yet multi-class imbalance learning is still ... open source software package for multi-class imbalanced data classification. It provides users with seven...
  • ML-flex

  • Referenced in 1 article [sw10521]
  • flex: a flexible toolbox for performing classification analyses in parallel. Motivated by a need ... users to perform two-class and multi-class classification analyses in a systematic yet flexible...
  • SentEval

  • Referenced in 1 article [sw26475]
  • variety of tasks, including binary and multi-class classification, natural language inference and sentence similarity...
  • FSCNMF

  • Referenced in 1 article [sw32347]
  • such as node clustering, visualization, and multi-class classification. The results show that our method...
  • KeBABS

  • Referenced in 1 article [sw15427]
  • kernlab, e1071, and LiblineaR. Binary and multi-class classification as well as regression tasks...
  • ada

  • Referenced in 16 articles [sw09505]
  • error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement ... along with an extension to the multi-class case. The algorithms are illustrated with synthetic...
  • rL-GenSVM

  • Referenced in 2 articles [sw34760]
  • tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine ... select the feature genes related to the classification from the high-dimensional and small-sample ... tumor classification -- relaxed Lasso (least absolute shrinkage and selection operator) and generalized multi-class support ... four two-class datasets and four multi-class datasets for experiments. And four classifiers...
  • ellenGP

  • Referenced in 0 articles [sw29486]
  • programming tool for symbolic regression and multi-class classification that incorporates epigenetic learning and uses...
  • Esub8

  • Referenced in 3 articles [sw35648]
  • typical classification problem; consequently, a one-against-one (1-v-1) multi-class support vector...
  • MIForests

  • Referenced in 5 articles [sw22587]
  • used in many applications such as object classification, detection and tracking. This paper presents ... trees are fast, inherently parallel and multi-class and are thus increasingly popular in computer...
  • FL-GrCCA

  • Referenced in 4 articles [sw00296]
  • GrCCA with the performance of popular classification algorithms, including support vector machines (SVMs ... number of two-class problems and multi-class problems. Our computational experiments showed that...
  • Rgtsp

  • Referenced in 1 article [sw18858]
  • accurately predicting the class label of a sample. This classification rule has the advantage ... including a multi-class approach, which has the potential of improving the classification performance. Availability...
  • LNEMLC

  • Referenced in 1 article [sw28400]
  • label classification focus on effective adaptation or transformation of existing binary and multi-class learning ... these issues we propose a new multi-label classification scheme, LNEMLC - Label Network Embedding...
  • TACOA

  • Referenced in 5 articles [sw35290]
  • simply as ”unknown”. We compared the classification accuracy of TACOA with the latest intrinsic classifier ... rank class and low false negative rates are also obtained. Conclusion: An accurate multi-class...
  • SGL-SVM

  • Referenced in 1 article [sw34146]
  • vector machine serves as a classifier for classification. We validate proposed method on microarray ... three two-class and five multi-class microarray datasets it is tested by 10-fold ... that the proposed method achieves a higher classification accuracy and selects fewer feature genes, which...
  • PyCM

  • Referenced in 1 article [sw29111]
  • PyCM is a multi-class confusion matrix library written in Python that supports both input ... matrix, and a proper tool for post-classification model evaluation that supports most classes...
  • bagRboostR

  • Referenced in 1 article [sw11007]
  • ensemble classifiers for multinomial classification. The bagging function is the implementation of Breiman’s ensemble ... Stagewise Additive Modeling using a Multi-class Exponential loss function (SAMME) created...