文件名称：slides for Probabilistic Graphical Models
文件大小：57MB
文件格式：RAR
更新时间：2018-04-11 14:10:42
PGM, 概率图模型
大牛Stanford教授Daphne Koller讲授的概率图模型课件
【文件预览】：
2.5.1-Repn-wrapup-KE.pdf
Section-5-Learning-Incomplete-Data.pdf
Section-2-Representation-Bayes-Nets.pdf
Section-1-Introduction-Combined.pdf
Section-2-Representation-CPDs.pdf
Section-3-MAP.pdf
Section-4-Decision-Making.pdf
Section-5-Learning-Parameters-Part-1.pdf
5.6-Learn-summary.pdf
Section-2-Representation-Template-Models.pdf
Section-3-Temporal-and-Summary.pdf
Section-3-Variable-Elimination.pdf
Section-3-Sampling.pdf
Section-2-Representation-Markov-Nets.pdf
Section-5-Learning-BN-Structures.pdf
Section-5-Learning-Parameters-Part-2.pdf
Section-3-Belief-Propagation.pdf