高斯网络中的贝特自由能量的界限Bounds on the Bethe Free Energy for Gaussian Networks |
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课程网址: | http://videolectures.net/abi07_cseke_bbf/ |
主讲教师: | Botond Cseke |
开课单位: | 奈梅根大学 |
开课时间: | 2008-02-01 |
课程语种: | 英语 |
中文简介: | 在高斯概率模型中,我们采用近似自由能方法进行近似推理。我们定义(分数)为自由能,并直接将其最小化。推导了自由能的一个下界,给出了分数阶自由能有界的必要条件。我们的结果符合标准消息传递的早期工作在分析由Malioutov et al.2006维斯和弗里曼2001,和改进他们的表现,如果成对normalizability并不持有标准消息传递保证收敛到全局最小只有在特殊的情况。和Tom Heskes一起工作。 |
课程简介: | We consider approximate inference in Gaussian probabilistic models with approximate free energy methods. We define the (fractional) Bethe free energy and directly minimize it. A lower bound for the free energies is derived and we give necessary conditions for the fractional Bethe free energy to be bounded. Our results are in line with the earlier work on the analysis of standard message passing done by Malioutov et al.2006 and Weiss and Freeman 2001, and improve on them by showing that if pairwise normalizability does not hold standard message passing is guaranteed to converge to a global minimum only in special cases. Joint work with Tom Heskes. |
关 键 词: | 高斯; 贝特; 界限 |
课程来源: | 视频讲座网 |
最后编审: | 2019-11-02:lxf |
阅读次数: | 74 |