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Evaluation of Semi-supervised Learning for Classification of Protein Crystallization Imagery
In this paper, we investigate the performance of two wrapper methods for semi-supervised learning algorithms for classification of protein crystallization images with limited labeled images. Firstly, we evaluate the performance of semi-supervised approach using self-training with naïve Bayesian (NB)...
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| Udgivet i: | Proc IEEE Southeastcon |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4409002/ https://ncbi.nlm.nih.gov/pubmed/25914518 |
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