• SVMTorch

  • Referenced in 67 articles [sw12121]
  • vector machines for large-scale regression problems. Support Vector Machines (SVMs) for regression problems ... Joachims [“Making large-scale support vector machine learning practical”, in: B. Schölkopf, C. Burges ... regression problems. With this algorithm, one can now efficiently solve large-scale regression problems (more ... convergence of the decomposition method for support vector machines (Tech. Rep.). National Taiwan University...
  • LIBLINEAR

  • Referenced in 135 articles [sw04880]
  • linear classification. It supports logistic regression and linear support vector machines. We provide easy...
  • SVMlight

  • Referenced in 261 articles [sw04076]
  • implementation of Vapnik’s Support Vector Machine [Vapnik, 1995] for the problem of pattern recognition ... problem of regression, and for the problem of learning a ranking function. The optimization algorithms ... handle problems with many thousands of support vectors efficiently. The software also provides methods...
  • Kernlab

  • Referenced in 89 articles [sw07926]
  • detection, quantile regression and dimensionality reduction. Among other methods kernlab includes Support Vector Machines, Spectral...
  • OOQP

  • Referenced in 39 articles [sw04743]
  • sparse QPs, QPs arising from support vector machines, Huber regression problems, and QPs with bound...
  • SURROGATES

  • Referenced in 16 articles [sw07575]
  • surface, radial basis neural network, and support vector regression. Analysis of error and cross validation...
  • LiblineaR

  • Referenced in 4 articles [sw25718]
  • logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main...
  • OP-ELM

  • Referenced in 22 articles [sw12171]
  • detail and then applied to several regression and classification problems. Results for both computational time ... support vector machine (SVM), and Gaussian process (GP). As the experiments for both regression...
  • OSU SVM

  • Referenced in 8 articles [sw21995]
  • Matlab toolbox. OSU SVM is a Support Vector Machine (SVM) toolbox for the MATLAB numerical ... create models for regression and classification using support vector machines...
  • SVM Toolbox

  • Referenced in 3 articles [sw22055]
  • foundations of Support Vector Machines (SVM) have been developed by Vapnik [1], and are gaining ... applied to both classification and regression problems. The toolbox provides ... routines for support vector classification and support vector regression. A GUI is included which allows...
  • HSEpred

  • Referenced in 3 articles [sw25088]
  • structure dataset. In particular, we employ support vector regression (SVR) to quantify the relationship between...
  • Statistics Toolbox

  • Referenced in 18 articles [sw10157]
  • squares regression. The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines...
  • SCPRED

  • Referenced in 6 articles [sw26876]
  • methods that are based on support vector machine, logistic regression, and ensemble of classifiers predictors...
  • ofw

  • Referenced in 4 articles [sw10549]
  • classifiers such as classification and regression trees and support vector machines. Furthermore, a weighted approach...
  • SimpleMKL

  • Referenced in 62 articles [sw12290]
  • scale problems, by iteratively using existing support vector machine code. However, it turns out that ... applied beyond binary classification, for problems like regression, clustering (one-class classification) or multiclass classification...
  • nproc

  • Referenced in 1 article [sw36077]
  • including popular methods such as logistic regression, support vector machines and random forests. Powered...
  • PERMON

  • Referenced in 5 articles [sw16719]
  • disciplines like least-squares regression, data fitting, data mining, support vector machines, control systems...
  • KLERC

  • Referenced in 1 article [sw37381]
  • ordinary least square regression, expectile regression, which can predict conditional expectiles, is fitted by minimizing ... idea of support vector machine was introduced to expectile regression to increase the flexibility ... model, resulting in support vector expectile regression (SVER). This paper reformulates the Lagrangian function...
  • kFOIL

  • Referenced in 12 articles [sw23358]
  • performance obtained by a support vector machine based on the resulting kernel. In this ... dynamic propositionalization approach. Both classification and regression tasks can be naturally handled. Experiments in applying...
  • Prodepth

  • Referenced in 0 articles [sw25085]
  • Prodepth: predict residue depth by support vector regression approach from protein sequences only. Residue depth ... introduce an efficient approach that uses support vector regression to quantify the relationship between...