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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)...

詳細記述

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書誌詳細
出版年:Proc IEEE Southeastcon
主要な著者: Sigdel, Madhav, Dinç, İmren, Dinç, Semih, Sigdel, Madhu S., Pusey, Marc L., Aygün, Ramazan S.
フォーマット: Artigo
言語:Inglês
出版事項: 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4409002/
https://ncbi.nlm.nih.gov/pubmed/25914518
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