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首页> 外文期刊>Journal of biomedical informatics. >A Gentle Introduction to Support Vector Machines in Biomedi-cine, Alexander Statnikov, Constantin F. Aliferis, Douglas P. Hardin, Isabelle Guyon. World Scientific (2013). Vols. 1 (200 p.) and 2 (212 p.)
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A Gentle Introduction to Support Vector Machines in Biomedi-cine, Alexander Statnikov, Constantin F. Aliferis, Douglas P. Hardin, Isabelle Guyon. World Scientific (2013). Vols. 1 (200 p.) and 2 (212 p.)

机译:关于生物医学支持向量机的简要介绍,亚历山大·斯坦尼科夫(Alexander Statnikov),君士坦丁·F·阿里菲里斯(Constantin F. Aliferis),道格拉斯·P·哈丁(Douglas P. Hardin),伊莎贝尔·古永(Isabelle Guyon)。世界科学(2013)。卷1(200 p。)和2(212 p。)

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摘要

The proliferation of massive amounts of electronic clinical and biomedical data offers unparalleled opportunities for new discoveries with the potential to revolutionize many aspects of biomedical research and patient care. Unlocking this knowledge, however, is only possible through the application of sophisticated data analytics techniques. Such techniques have been developed in the data mining and machine-learning communities, but a significant gap remains between these cutting-edge machine-learning techniques and the methods currently used by mainstream biomedical and clinical researchers. The aim of this book is to bring these two worlds closer together with a conceptually clear and operationally useful description of one of the most popular machine-learning tools: support vector machines.
机译:大量电子临床和生物医学数据的激增为新发现提供了无与伦比的机会,并有可能彻底改变生物医学研究和患者护理的许多方面。但是,只有通过应用复杂的数据分析技术才能解锁此知识。在数据挖掘和机器学习社区中已经开发了这样的技术,但是在这些尖端的机器学习技术与主流生物医学和临床研究人员当前使用的方法之间仍然存在巨大差距。本书的目的是使这两个世界更加接近,并对最流行的机器学习工具之一:支持向量机进行概念上清晰且在操作上有用的描述。

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