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音乐偏好的在线学习

Online Learning of Music Preference
课程网址: http://videolectures.net/mbc07_orbanz_olm/  
主讲教师: Peter Orbanz
开课单位: 苏黎世联邦理工学院
开课时间: 2007-12-29
课程语种: 英语
中文简介:
我们在稀疏的用户反馈下考虑在不断变化的环境中进行在线学习的问题。 具体而言,我们根据用户对助听器应用的偏好来解决音乐类型的分类。 在有限的计算资源下操作的分类器必须能够调整到训练集中未表示的数据类型,以及改变用户需求。 用户仅偶尔提供反馈,提示分类器改变其状态。 我们提出了一种在线学习算法,能够通过半监督策略整合来自未标记数据的信息,并证明如果标记点的比例很小,则使用未标记的示例可显着提高分类性能。
课程简介: We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user’s preferences for a hearing aid application. The classifier, operating under limited computational resources, must be capable of adjusting to types of data not represented in the training set, and to changing user demands. The user provides feedback only occasionally, prompting the classifier to change its state. We propose an online learning algorithm capable of incorporating information from unlabeled data by a semi-supervised strategy, and demonstrate that the use of unlabeled examples significantly improves classification performance if the ratio of labeled points is small.
关 键 词: 在线学习; 助听器应用; 分类器; 在线学习算法
课程来源: 视频讲座网
最后编审: 2020-07-16:yumf
阅读次数: 81