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用树的附加树枝检测统计相互作用

Detecting Statistical Interactions with Additive Groves of Trees
课程网址: http://videolectures.net/icml08_sorokina_dsi/  
主讲教师: Daria Sorokina
开课单位: 康奈尔大学
开课时间: 2008-08-29
课程语种: 英语
中文简介:
发现附加结构是理解复杂多维函数的重要步骤,因为它允许函数表示为较低维度分量的总和。然而,当变量相互作用时,它们的效果不是相加的,必须同时建模和解释。我们提出了一种解决交互检测问题的新方法。我们的方法基于比较无限制和受限预测模型的性能,其中限制模型被阻止对相关交互进行建模。我们表明,基于加法模型的回归集合Additive Groves可以适当地限制用于此框架,因此具有准确检测变量交互的正确属性。
课程简介: Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-dimensional components. When variables interact, however, their effects are not additive and must be modeled and interpreted simultaneously. We present a new approach for the problem of interaction detection. Our method is based on comparing the performance of unrestricted and restricted prediction models, where restricted models are prevented from modeling an interaction in question. We show that an additive model-based regression ensemble, Additive Groves, can be restricted appropriately for use with this framework, and thus has the right properties for accurately detecting variable interactions.
关 键 词: 附加结构; 多维函数; 交互检测
课程来源: 视频讲座网
最后编审: 2019-04-21:lxf
阅读次数: 79