Combining labeled and unlabeled data with co-training

Avrim Blum; Tom M. Mitchell

doi:https://doi.org/10.1145/279943.279962

Combining labeled and unlabeled data with co-training

1998 · 5,631 citations · 18 from inside this corpus

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

19 of 19 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

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Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

A Survey on Transfer Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Learning from Imbalanced Data→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Active Learning Literature Survey→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Semi-Supervised Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Semi-Supervised Learning Literature Survey→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Text Classification from Labeled and Unlabeled Documents using EM→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
A survey on semi-supervised learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Toward an Architecture for Never-Ending Language Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
A survey on ensemble learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Classification in the Presence of Label Noise: A Survey→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
AutoML: A survey of the state-of-the-art→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
The text mining handbook: advanced approaches in analyzing unstructured data→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Domain adaptation with structural correspondence learning→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Combining labeled and unlabeled data with co-trainingLegacy edge — source detail unavailable
Combining labeled and unlabeled data with co-training→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Semi-Supervised Learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
Semi-Supervised Learning→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Toward an Architecture for Never-Ending Language Learning→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Toward an Architecture for Never-Ending Language Learning→Active Learning Literature SurveyLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Semi-Supervised LearningLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…Legacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
Introduction to Semi-Supervised Learning→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
The text mining handbook: advanced approaches in analyzing unstructured data→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Semi-Supervised LearningLegacy edge — source detail unavailable
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
Learning from Imbalanced Data→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Semi-Supervised Learning Literature Survey→Semi-Supervised LearningLegacy edge — source detail unavailable
Semi-Supervised Learning Literature Survey→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
Semi-Supervised Learning Literature Survey→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Semi-Supervised Learning Literature Survey→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
Domain adaptation with structural correspondence learning→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
A Survey on Transfer Learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
A Survey on Transfer Learning→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
A Survey on Transfer Learning→Domain adaptation with structural correspondence learningLegacy edge — source detail unavailable
Active Learning Literature Survey→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
Active Learning Literature Survey→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Introduction to Semi-Supervised LearningLegacy edge — source detail unavailable
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…Legacy edge — source detail unavailable
AutoML: A survey of the state-of-the-art→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
A survey on semi-supervised learning→Semi-Supervised LearningLegacy edge — source detail unavailable
A survey on semi-supervised learning→Introduction to Semi-Supervised LearningLegacy edge — source detail unavailable
A survey on semi-supervised learning→Text Classification from Labeled and Unlabeled Documents using EMLegacy edge — source detail unavailable
A survey on semi-supervised learning→Unsupervised word sense disambiguation rivaling supervised methodsLegacy edge — source detail unavailable
A survey on semi-supervised learning→Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…Legacy edge — source detail unavailable
A survey on semi-supervised learning→Semi-Supervised Learning Literature SurveyLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…Legacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled DataLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→Domain adaptation with structural correspondence learningLegacy edge — source detail unavailable
A Comprehensive Survey on Transfer Learning→A Survey on Transfer LearningLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Unsupervised word sense disambiguation rivaling supervised methods	1995	2,436

What cites it, inside the corpus

Paper	Year	Cited
A Survey on Transfer Learning	2009	23,670
Learning from Imbalanced Data	2009	10,209
A Comprehensive Survey on Transfer Learning	2020	6,441
Active Learning Literature Survey	2009	4,788
Semi-Supervised Learning	2006	4,334
Semi-Supervised Learning Literature Survey	2005	3,879
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…	2006	3,266
Text Classification from Labeled and Unlabeled Documents using EM	2000	2,753
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning	2018	2,652
A survey on semi-supervised learning	2019	2,636
Toward an Architecture for Never-Ending Language Learning	2010	1,996
A survey on ensemble learning	2019	1,951
Introduction to Semi-Supervised Learning	2009	1,812
Classification in the Presence of Label Noise: A Survey	2014	1,777
AutoML: A survey of the state-of-the-art	2020	1,705
The text mining handbook: advanced approaches in analyzing unstructured data	2007	1,626
Domain adaptation with structural correspondence learning	2006	1,565
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data	2005	1,370

Links

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Topics

Machine Learning and Algorithms	Computer Science
Algorithms and Data Compression	Computer Science
Machine Learning and Data Classification	Computer Science

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supports2 author record(s) attached.
supports19 reference(s) recorded.
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supportsA title is present.

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