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Co-training is a machine learning algorithm used when there are only small amounts of labeled data and large amounts of unlabeled data. One of its uses is in text mining for search engines. It was introduced by Avrim Blum and Tom Mitchell in 1998.
Applications & Science
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data learning used unlabeled text using page labeled one search mitchell uses information classifier web classifiers machine tom algorithm links
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Co-training | is a | machine learning algorithm used when there are only small amounts of labeled data and large amounts of unlabeled data | 0.90 | text |
| Co-training | related to Algorithm design | It | 0.60 | section |
| Co-training | related to Algorithm design | Ideally | 0.60 | section |
| Co-training | related to Algorithm design | The | 0.60 | section |
| Co-training | related to Algorithm design | Best Paper Award | 0.60 | section |
| Co-training | related to Algorithm design | International Conference | 0.60 | section |
| Co-training | related to Algorithm design | Machine Learning | 0.60 | section |
| Co-training | related to Algorithm design | ICML | 0.60 | section |
| Co-training | related to External links | Lecture | 0.60 | section |
| Co-training | related to External links | Tom Mitchell | 0.60 | section |
| Co-training | related to External links | Avrim Blum | 0.60 | section |
| Co-training | related to External links | Training | 0.60 | section |
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