LIBSVM

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail: http://dl.acm.org/citation.cfm?id=1961199


References in zbMATH (referenced in 691 articles )

Showing results 1 to 20 of 691.
Sorted by year (citations)

1 2 3 ... 33 34 35 next

  1. García Nieto, P.J.; García-Gonzalo, E.; Álvarez Antón, J.C.; González Suárez, V.M.; Mayo Bayón, R.; Mateos Martín, F.: A comparison of several machine learning techniques for the centerline segregation prediction in continuous cast steel slabs and evaluation of its performance (2018)
  2. Lu, Xiaoling; Dong, Fengchi; Liu, Xiexin; Chang, Xiangyu: Varying coefficient support vector machines (2018)
  3. Andrea Esuli, Tiziano Fagni, Alejandro Moreo Fernandez: JaTeCS an open-source JAva TExt Categorization System (2017) arXiv
  4. Bacciu, Davide; Carta, Antonio; Gnesi, Stefania; Semini, Laura: An experience in using machine learning for short-term predictions in smart transportation systems (2017)
  5. Bounhas, Myriam; Prade, Henri; Richard, Gilles: Analogy-based classifiers for nominal or numerical data (2017)
  6. Brentan, Bruno M.; Luvizotto, Edevar jun.; Herrera, Manuel; Izquierdo, Joaquín; Pérez-García, Rafael: Hybrid regression model for near real-time urban water demand forecasting (2017)
  7. Budynkov, Alexey N.; Masolkin, S.I.: The problem of choosing the kernel for one-class support vector machines (2017)
  8. Demyanova, Yulia; Pani, Thomas; Veith, Helmut; Zuleger, Florian: Empirical software metrics for benchmarking of verification tools (2017)
  9. García Nieto, P.J.; García-Gonzalo, E.; Alonso Fernández, J.R.; Díaz Muñiz, C.: A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (northern Spain) (2017)
  10. Huang, Xiaolin; Maier, Andreas; Hornegger, Joachim; Suykens, Johan A.K.: Indefinite kernels in least squares support vector machines and principal component analysis (2017)
  11. Hwang, Kyoungmi; Kim, Dohyun; Lee, Kyungsik; Lee, Chungmok; Park, Sungsoo: Embedded variable selection method using signomial classification (2017)
  12. Ingo Steinwart, Philipp Thomann: liquidSVM: A Fast and Versatile SVM package (2017) arXiv
  13. Jack Baker, Paul Fearnhead, Emily B. Fox, Christopher Nemeth: sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte Carlo (2017) arXiv
  14. Kim, Young Bin; Kang, Kyeongpil; Choo, Jaegul; Kang, Shin Jin; Kim, TaeHyeong; Im, JaeHo; Kim, Jong-Hyun; Kim, Chang Hun: Predicting the currency market in online gaming via lexicon-based analysis on its online forum (2017)
  15. Lan, Liang; Zhang, Kai; Ge, Hancheng; Cheng, Wei; Liu, Jun; Rauber, Andreas; Li, Xiao-Li; Wang, Jun; Zha, Hongyuan: Low-rank decomposition meets kernel learning: a generalized Nyström method (2017)
  16. Li, Genyuan; Xing, Xi; Welsh, William; Rabitz, Herschel: High dimensional model representation constructed by support vector regression. I. Independent variables with known probability distributions (2017)
  17. Liu, Yun; Wang, Chen; Wang, Yang; Bai, Xiao; Zhou, Jun; Bai, Lu: Differential weights-based band selection for hyperspectral image classification (2017)
  18. López-González, Gehová; Arana-Daniel, Nancy; Bayro-Corrochano, Eduardo: Parallel Clifford support vector machines using the Gaussian kernel (2017)
  19. Mendes Júnior, Pedro R.; de Souza, Roberto M.; de O. Werneck, Rafael; Stein, Bernardo V.; Pazinato, Daniel V.; de Almeida, Waldir R.; Penatti, Otávio A. B.; da S. Torres, Ricardo; Rocha, Anderson: Nearest neighbors distance ratio open-set classifier (2017)
  20. Nazemi, Abdolreza; Fatemi Pour, Farnoosh; Heidenreich, Konstantin; Fabozzi, Frank J.: Fuzzy decision fusion approach for loss-given-default modeling (2017)

1 2 3 ... 33 34 35 next