基于主动迁移学习的蛋白质-蛋白质相互作用提取

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Pub Date : 2015-11-09 DOI:10.1109/BIBM.2015.7359936

Lishuang Li, Jieqiong Zheng, Dingxin Song, Rui Guo, Degen Huang

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引用次数: 0

摘要

在本文中，我们提出了一个主动迁移学习框架来提取PPI。实验结果表明，本文提出的ActTrAdaBoost方法比基线支持向量机和原始迁移学习方法的性能要好得多。在PPIE迁移学习任务中，我们的ActTrAdaBoost方法表现出更好的性能。

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Protein-protein interaction extraction based on actively transfer learning

In this paper, we present an actively transfer learning framework to extract PPI. Experimental results show that the proposed ActTrAdaBoost method performs much better than the baseline SVM and the original transfer learning method. In PPIE transfer learning task, our ActTrAdaBoost method presents better performance.

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2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

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