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关于学习基因调控网络的积极例子

On learning gene regulatory networks with only positive examples
课程网址: http://videolectures.net/mlsb2010_cerulo_olg/  
主讲教师: Luigi Cerulo
开课单位: 桑尼奥大学
开课时间: 2010-11-08
课程语种: 英语
中文简介:
当二元分类器的训练集由已知为正的示例组成,以及标签类别未知的示例时,仅使用正例学习。这种情况大大影响了学习基因调控网络的任务,因为生物学家不知道两个基因是否不相互作用的信息。我们介绍了从正面和未标记数据中学习新基因 - 基因相互作用的问题,并提出了可能的方法路线图。
课程简介: Learning with positive only examples occurs when the training set of a binary classifier is composed of examples known to be positive, and examples where the label category is unknown. Such a condition largely affects the task of learning gene regulatory networks as biologists does not aware the information whether two genes does not interact. We introduce the problem of learning new gene–gene interactions from positive and unlabeled data and propose a roadmap of possible approches.
关 键 词: 二元分类器; 标签类别; 正例学习
课程来源: 视频讲座网
最后编审: 2019-07-02:cwx
阅读次数: 80