Towards semi-supervised classification with Markov random fields
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- Type
- article
- Published
- 2002-09-16
- Cited by
- 25
- References
- 0
- OpenAlex
- https://openalex.org/W23846527
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:267876209
Keywords
Markov chain, Computer science, Artificial intelligence, Machine learning, Mathematics
References
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- Glocalization pursuit support vector machine
- Introduction to Semi-Supervised Learning
- Graph-based learning for phonetic classification
- Classification using distance nearest neighbours
- GA, MR, FFNN, PNN and GMM based models for automatic text summarization
- Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
- LexNet: A Graphical Environment for Graph-Based NLP
- New directions in semi-supervised learning
- Walking forward and backward: towards graph-based searching and mining
- Scalable Graph-Based Learning Applied to Human Language Technology
- Monte Carlo integration in discrete undirected probabilistic models
- Scalable Support Vector Machine for Semi-supervised Learning
- Online machine learning for combinatorial data
- A survey on semi-supervised learning
- When Does Self-Supervision Help Graph Convolutional Networks?
- GraphHop: An Enhanced Label Propagation Method for Node Classification
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