Learning with Local and Global Consistency
Dengyong Zhou low, Olivier Bousquet, Thomas Navin Lal low, Jason Weston, Bernhard Schölkopf
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Citation edge evidence
- Learning Deep Architectures for AI→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Semi-Supervised Learning→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Semi-Supervised Learning Literature Survey→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- A survey on semi-supervised learning→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Introduction to Semi-Supervised Learning→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Learning with Local and Global Consistency→Statistical Learning TheoryLegacy edge — source detail unavailable
- Learning with Local and Global Consistency→The Architecture of CognitionLegacy edge — source detail unavailable
- Semi-Supervised Learning→Statistical Learning TheoryLegacy edge — source detail unavailable
- Introduction to Semi-Supervised Learning→Semi-Supervised LearningLegacy 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
- Introduction to Semi-Supervised Learning→Statistical Learning TheoryLegacy 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…→Statistical Learning TheoryLegacy edge — source detail unavailable
- A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data→Statistical Learning TheoryLegacy edge — source detail unavailable
- Semi-Supervised Learning Literature Survey→Semi-Supervised LearningLegacy 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
- Semi-Supervised Learning Literature Survey→Statistical Learning TheoryLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Semi-Supervised LearningLegacy 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
- 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→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 survey on semi-supervised learning→Statistical Learning TheoryLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Statistical Learning Theory | 1999 | 26,957 |
| The Architecture of Cognition | 2013 | 6,812 |
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · Open access copy · OpenAlex record
Topics
| Machine Learning and Algorithms | Computer Science |
| Machine Learning and Data Classification | Computer Science |
| Face and Expression Recognition | Computer Science |
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complete
Nothing in this record contradicts itself and no field we check is missing.
- supports5 author record(s) attached.
- supports20 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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