• LIBSVM

  • Referenced in 1185 articles [sw04879]
  • such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection...
  • SVMlight

  • Referenced in 264 articles [sw04076]
  • large range of problems, including text classification [Joachims, 1999c][Joachims, 1998a], image recognition tasks, bioinformatics...
  • CUTE

  • Referenced in 226 articles [sw14681]
  • Additionally, as each problem includes a specific classification that is designed to be useful...
  • Pegasos

  • Referenced in 103 articles [sw08752]
  • gradient descent algorithm for solving the optimization problem cast by Support Vector Machines ... particularly well suited for large text classification problems, where we demonstrate an order-of-magnitude...
  • SimpleMKL

  • Referenced in 68 articles [sw12290]
  • algorithm, named SimpleMKL, for solving this MKL problem and provide a new insight ... SimpleMKL can be applied beyond binary classification, for problems like regression, clustering (one-class classification ... multiclass classification. Experimental results show that the proposed algorithm converges rapidly and that its efficiency ... model selection problems related to multiclass classification problems...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • experiment and on a drug discovery classification problem...
  • GeneSrF

  • Referenced in 72 articles [sw08254]
  • tool for gene selection in classification problems that uses random forest. Two approaches for gene...
  • HandTill2001

  • Referenced in 69 articles [sw11200]
  • curve for multiple class classification problems The area under the ROC curve, or the equivalent ... widely used measure of performance of supervised classification rules. It has the attractive property that...
  • SVMTorch

  • Referenced in 67 articles [sw12121]
  • trained by solving a quadratic optimization problem which needs on the order of l2 memory ... Press (1998; Zbl 0935.68084)] for classification problems, but adapted to regression problems. With this algorithm...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • experiment and on a drug discovery classification problem...
  • GPDT

  • Referenced in 46 articles [sw04803]
  • training support vector machines for classification problems is introduced. The software implements an iterative decomposition...
  • AdaBoost-SAMME

  • Referenced in 28 articles [sw19134]
  • technique for solving the two-class classification problem. In going from two-class to multi ... restricted to reducing the multi-class classification problem to multiple two-class problems. We develop ... without reducing it to multiple two-class problems. We show that the proposed multi-class ... novel exponential loss for multi-class classification. Furthermore, we show that the exponential loss...
  • SPRINT

  • Referenced in 39 articles [sw11760]
  • Classification is an important data mining problem. Although classification is a well-studied problem, most...
  • KEEL

  • Referenced in 153 articles [sw06791]
  • Data Mining problems of various kinds including as regression, classification, unsupervised learning, etc. It includes...
  • UTA Plus

  • Referenced in 149 articles [sw16225]
  • used to solve problems of choice or of multi criteria classification ... sensitivity analysis of the ordinal regression problem. There is a friendly user interface in which...
  • NIMBUS

  • Referenced in 63 articles [sw04339]
  • multiobjective optimization problems, is described. The algorithm is based on the classification of objective functions ... freely. According to the classification, a new (multiobjective) optimization problem is formed, which is solved...
  • SLIQ

  • Referenced in 50 articles [sw11759]
  • scalable classifier for data mining. Classification is an important problem in the emerging field...
  • OP-ELM

  • Referenced in 22 articles [sw12171]
  • then applied to several regression and classification problems. Results for both computational time and accuracy ... experiments for both regression and classification illustrate, the proposed OP-ELM methodology performs several orders...
  • LogitBoost

  • Referenced in 18 articles [sw08543]
  • appropriate iteration time is a longstanding problem for the past decade applied model selection criteria ... also extended to two-class classification problems which are very common in medical and bioinformatics...
  • SSVM

  • Referenced in 64 articles [sw12678]
  • machine for classification. Smoothing methods, extensively used for solving important mathematical programming problems and applications ... support vector machine for pattern classification using a completely arbitrary kernel. We term such reformulation ... well as the fastest. On larger problems, SSVM was comparable or faster than SVM light...