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让贝叶斯定理沉睡

Putting Bayes to Sleep
课程网址: http://videolectures.net/onlinelearning2012_koolen_bayes/  
主讲教师: Koolen Wouter M
开课单位: 荷兰数学与信息中心
开课时间: 2013-03-23
课程语种: 英语
中文简介:
在在线多任务学习中,单个算法面临一组交错的任务。通过联合而不是孤立地处理这些任务,该算法可以发现和利用任务之间的相似性,从而更快地学习并更好地执行每个任务。我们提出了一种基于专家框架的多任务学习新方法。我们获得了一个新的有趣的有效更新,实现了一个明显更好的界限。我们的方法具有线性效率,因此可以扩展到非常大的数据集。
课程简介: In online multitask learning a single algorithm faces a collection of interleaved tasks. By addressing these tasks jointly rather than in isolation, the algorithm can discover and exploit similarities between tasks and hence learn faster and perform each task better. We present a new method for multitask learning, built atop the "specialist" framework. We obtain a new intriguing efficient update that achieves a significantly better bound. Our method has linear efficiency and hence scales to very large data sets.
关 键 词: 线性效率; 算法; 数据集
课程来源: 视频讲座网
最后编审: 2020-06-06:zyk
阅读次数: 43