
EMCluster
 Referenced in 6 articles
[sw24496]
 dispersion in both of unsupervised and semisupervised learning...

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 semisupervised machine learning problems. Aims to become a complete...

DIFFRAC
 Referenced in 4 articles
[sw23902]
 stateoftheart performance for semisupervised learning, for clustering or classification. We present...

PTE
 Referenced in 5 articles
[sw37756]
 task. Although the low dimensional representations learned are applicable to many different tasks, they ... this gap by proposing a semisupervised representation learning method for text data, which...

RALF
 Referenced in 2 articles
[sw33955]
 part of the project Semisupervised learning in image collections. This framework combines active learning...

BlinkFill
 Referenced in 2 articles
[sw29485]
 large space. We present a semisupervised learning technique to significantly reduce this ambiguity...

NEIL
 Referenced in 2 articles
[sw36514]
 from Internet data. NEIL uses a semisupervised learning algorithm that jointly discovers common sense...

pomegranate
 Referenced in 1 article
[sw26684]
 core learning, minibatch learning, and semisupervised learning, without requiring the user to consider...

GBFlearn
 Referenced in 1 article
[sw36067]
 GBFlearn  Learning with Graph Basis Functions. A very simple toolbox to illustrate how graph basis ... used for interpolation, classification and semisupervised learning on graphs...

InfoGraph
 Referenced in 2 articles
[sw37754]
 InfoGraph: Unsupervised and Semisupervised GraphLevel Representation Learning via Mutual Information Maximization. This paper ... studies learning the representations of whole graphs in both unsupervised and semisupervised scenarios. Graph ... semisupervised scenarios. InfoGraph* maximizes the mutual information between unsupervised graph representations learned by InfoGraph ... representations learned by existing supervised methods. As a result, the supervised encoder learns from unlabeled...

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 semisupervised 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 semisupervised learning problems. Numerical studies on simulated data...

MEKA
 Referenced in 13 articles
[sw15429]
 variety of methods for this type of learning. We present MEKA: an opensource Java ... target data, including in incremental and semisupervised contexts...

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

CogDL
 Referenced in 2 articles
[sw37740]
 networks. Most of the graph embedding methods learn nodelevel or graphlevel representations ... capture node features and work in semisupervised or selfsupervised settings. All models implemented...

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

TopicRNN
 Referenced in 3 articles
[sw36211]
 contextual RNN language modeling, our model is learned endtoend. Empirical results on word ... resulting from a semisupervised approach. Finally, TopicRNN also yields sensible topics, making...

LANCELOT
 Referenced in 299 articles
[sw00500]
 LANCELOT. A Fortran package for largescale nonlinear...

Matlab
 Referenced in 12309 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

mclust
 Referenced in 260 articles
[sw00563]
 R package mclust: Normal Mixture Modeling for Model...