[{"title":"( 31 个子文件 73.84MB ) 斯坦福大学概率图模型PGM讲义","children":[{"title":"PGM_slides","children":[{"title":"Section-5.5-Learning-Summary.pdf <span style='color:#111;'> 374.03KB </span>","children":null,"spread":false},{"title":"Section-5.3-Learning-BN-Structures.pdf <span style='color:#111;'> 7.37MB </span>","children":null,"spread":false},{"title":"Section-2.1-Representation-Bayes-Nets.pdf <span style='color:#111;'> 4.85MB </span>","children":null,"spread":false},{"title":"Section-5.1-Learning-Parameters-Part-1.pdf <span style='color:#111;'> 3.68MB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 10.00KB </span>","children":null,"spread":false},{"title":"Section-3.1-Variable-Elimination.pdf <span style='color:#111;'> 4.35MB </span>","children":null,"spread":false},{"title":"Section-1-Introduction-Combined.pdf <span style='color:#111;'> 6.31MB </span>","children":null,"spread":false},{"title":"Section-5.4-Learning-Incomplete-Data.pdf <span style='color:#111;'> 3.82MB </span>","children":null,"spread":false},{"title":"pic","children":[{"title":"4.png <span style='color:#111;'> 119.52KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"3.png <span style='color:#111;'> 536.28KB </span>","children":null,"spread":false},{"title":"7.png <span style='color:#111;'> 118.83KB </span>","children":null,"spread":false},{"title":"5.png <span style='color:#111;'> 298.50KB </span>","children":null,"spread":false},{"title":"1.png <span style='color:#111;'> 231.35KB </span>","children":null,"spread":false},{"title":"2.png <span style='color:#111;'> 25.58KB </span>","children":null,"spread":false},{"title":"6.png <span style='color:#111;'> 243.04KB </span>","children":null,"spread":false},{"title":"8.png <span style='color:#111;'> 91.66KB </span>","children":null,"spread":false},{"title":"9.png <span style='color:#111;'> 51.86KB </span>","children":null,"spread":false},{"title":"10.png <span style='color:#111;'> 46.66KB </span>","children":null,"spread":false}],"spread":false},{"title":"Section-2.4-Representation-Markov-Nets.pdf <span style='color:#111;'> 7.74MB </span>","children":null,"spread":false},{"title":"Section-2.3-Representation-CPDs.pdf <span style='color:#111;'> 3.12MB </span>","children":null,"spread":false},{"title":"Section-3.4-Sampling.pdf <span style='color:#111;'> 5.15MB </span>","children":null,"spread":false},{"title":"Section-3.2-Belief-Propagation.pdf <span style='color:#111;'> 7.26MB </span>","children":null,"spread":false},{"title":"Section-6-Overall-Summary.pdf <span style='color:#111;'> 380.57KB </span>","children":null,"spread":false},{"title":"Section-2.5-KE-Wrapup.pdf <span style='color:#111;'> 389.30KB </span>","children":null,"spread":false},{"title":"Section-3.3-MAP.pdf <span style='color:#111;'> 8.14MB </span>","children":null,"spread":false},{"title":"Section-3.5-Temporal-and-Summary.pdf <span style='color:#111;'> 1.50MB </span>","children":null,"spread":false},{"title":"Section-2.2-Representation-Template-Models.pdf <span style='color:#111;'> 4.06MB </span>","children":null,"spread":false},{"title":"Section-5.2-Learning-Parameters-Part-2.pdf <span style='color:#111;'> 3.95MB </span>","children":null,"spread":false},{"title":"Section-4-Decision-Making.pdf <span style='color:#111;'> 3.41MB </span>","children":null,"spread":false},{"title":"PGM note.md <span style='color:#111;'> 7.25KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]