输出内核树Output kernel tree |
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课程网址: | http://videolectures.net/oh06_alche_okt/ |
主讲教师: | Florence d Alche-Buc |
开课单位: | 埃夫里大学 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 本文将基于树的方法推广到结构化输出空间的预测中。扩展是基于算法的内核化,它允许在输出空间上定义内核后立即生长树。所得到的算法称为输出核树(OK3),它以一种原则性的方式概括了分类树和回归树。 |
课程简介: | In this paper, we generalize tree-based methods to the prediction in structured output space. The extension is based on a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the output space. The resulting algorithm, called output kernel trees (OK3), generalizes classification and regression trees in a principled way. |
关 键 词: | 计算机科学; 机器学习; 核方法 |
课程来源: | 视频讲座网 |
最后编审: | 2020-05-29:吴雨秋(课程编辑志愿者) |
阅读次数: | 39 |