• Spider

  • Referenced in 8 articles [sw10713]
  • spider - machine learning toolbox for Matlab. It’s a library of objects in Matlab ... reasonably) large unsupervised, supervised or semi-supervised machine learning problems. Aims to become a complete...
  • EMCluster

  • Referenced in 5 articles [sw24496]
  • dispersion in both of unsupervised and semi-supervised learning...
  • DIFFRAC

  • Referenced in 4 articles [sw23902]
  • state-of-the-art performance for semi-supervised learning, for clustering or classification. We present...
  • RALF

  • Referenced in 2 articles [sw33955]
  • part of the project Semi-supervised learning in image collections. This framework combines active learning...
  • BlinkFill

  • Referenced in 2 articles [sw29485]
  • large space. We present a semi-supervised learning technique to significantly reduce this ambiguity...
  • pomegranate

  • Referenced in 1 article [sw26684]
  • core learning, minibatch learning, and semi-supervised learning, without requiring the user to consider...
  • GraphDemo

  • Referenced in 1 article [sw10148]
  • their use in machine learning. Many machine learning algorithms model local neighborhoods using similarity graphs ... denoising, spectral clustering, label propagation for semi-supervised learning, and so on. However, for most...
  • CLEMM

  • Referenced in 1 article [sw31323]
  • learning technique in multivariate statistics and machine learning. In this paper, we propose ... envelope methods in unsupervised and semi-supervised learning problems. Numerical studies on simulated data...
  • MEKA

  • Referenced in 11 articles [sw15429]
  • variety of methods for this type of learning. We present MEKA: an open-source Java ... target data, including in incremental and semi-supervised contexts...
  • Manifold Regularization

  • Referenced in 1 article [sw24840]
  • marginal distribution. We focus on a semi-supervised framework that incorporates labeled and unlabeled data ... handle both transductive and truly semi-supervised settings. We present experimental evidence suggesting that ... semi-supervised algorithms are able to use unlabeled data effectively. Finally we have a brief ... discussion of unsupervised and fully supervised learning within our general framework...
  • FRaC

  • Referenced in 3 articles [sw15627]
  • verified “normal” data (semi-supervised anomaly detection). Traditional approaches typically compare the position ... appear in anomalies. Our approach is to learn predictive models of the relationships among...
  • LANCELOT

  • Referenced in 295 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear...
  • Matlab

  • Referenced in 11784 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • mclust

  • Referenced in 253 articles [sw00563]
  • R package mclust: Normal Mixture Modeling for Model...
  • Octave

  • Referenced in 277 articles [sw00646]
  • GNU Octave is a high-level language, primarily...
  • R

  • Referenced in 7904 articles [sw00771]
  • R is a language and environment for statistical...
  • SCIP

  • Referenced in 434 articles [sw01091]
  • SCIP is currently one of the fastest non...
  • GraphBase

  • Referenced in 119 articles [sw01555]
  • The Stanford GraphBase is a freely available collection...
  • WordNet

  • Referenced in 389 articles [sw01777]
  • WordNet® is a large lexical database of English...
  • P-FCM

  • Referenced in 17 articles [sw02421]
  • P-FCM: A proximity-based fuzzy clustering for...