DRASO：声明正则交替结构优化][DRASO: Declaratively Regularized Alternating Structural Optimization]

DRASO：声明正则交替结构优化 DRASO: Declaratively Regularized Alternating Structural Optimization


课程网址:	http://videolectures.net/icml08_talukdar_draso/
主讲教师:	Partha Pratim Talukdar
开课单位:	班加罗尔印度科学研究所
开课时间:	2008-08-11
课程语种:	英语
中文简介:	最近的研究表明，交替结构优化（ASO）可以通过从未标记的数据中学习特征表示来改进监督学习者。然而，在这个框架中没有自然的方法包含关于特性的先验知识。在本文中，我们提出了声明性规则化交替结构优化（DRASO），这是一种将先验知识注入ASO框架的原则性方法。我们还提供了一些分析方法所学的表示。
课程简介:	Recent work has shown that Alternating Structural Optimization (ASO) can improve supervised learners by learning feature representations from unlabeled data. However, there is no natural way to include prior knowledge about features into this frame- work. In this paper, we present Declar- atively Regularized Alternating Structural Optimization (DRASO), a principled way for injecting prior knowledge into the ASO framework. We also provide some analysis of the representations learned by our method.
关键词:	计算机科学; 正则交; 结构优化
课程来源:	视频讲座网
最后编审:	2019-11-04：lxf
阅读次数:	62

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