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具有单调不可约性和相关性的非线性关系特征的块智能构造

Block-Wise Construction of Acyclic Relational Features with Monotone Irreducibility and Relevancy Properties
课程网址: http://videolectures.net/icml09_kuzelka_bwcarfwmirp/  
主讲教师: Ondřej Kuželka
开课单位: 布拉格捷克技术大学
开课时间: 2009-08-26
课程语种: 英语
中文简介:
我们描述了一种通过组合较小的连接块来构造一组非循环连接关系特征的算法。与保持频率单调性的传统水平方法不同,我们的分块方法保留了不可约性和相关性特征的单调性形式,这在分类学习中使用的命题化中是重要的。通过基于这些属性的修剪,我们的分块方法可以有效地扩展到包括数十个一阶文字的特征,远远超出了现有技术命题化或归纳逻辑编程系统的范围。
课程简介: We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which preserve the monotonicity of frequency, our block-wise approach preserves a form of monotonicity of the irreducibility and relevancy feature properties, which are important in propositionalization employed in the context of classification learning. With pruning based on these properties, our block-wise approach efficiently scales to features including tens of first-order literals, far beyond the reach of state-of-the art propositionalization or inductive logic programming systems.
关 键 词: 连接关系特征; 分块方法; 归纳逻辑编程系统
课程来源: 视频讲座网
最后编审: 2019-04-23:lxf
阅读次数: 74