[{"title":"( 12 个子文件 2.06MB ) An introduction to probabilistic graphical models(UCB Michael Jordan )","children":[{"title":"chapter13 The Multivariate Gaussian.pdf <span style='color:#111;'> 152.40KB </span>","children":null,"spread":false},{"title":"chapter2 Conditional Independene and Fatorization.pdf <span style='color:#111;'> 297.82KB </span>","children":null,"spread":false},{"title":"chapter17 The Juntion Tree Algorithm.pdf <span style='color:#111;'> 345.77KB </span>","children":null,"spread":false},{"title":"chapter15 Kalman fltering and smoothing.pdf <span style='color:#111;'> 207.05KB </span>","children":null,"spread":false},{"title":"chapter5 Statistial Conepts.pdf <span style='color:#111;'> 362.08KB </span>","children":null,"spread":false},{"title":"chapter3 The Elimination Algorithm.pdf <span style='color:#111;'> 225.70KB </span>","children":null,"spread":false},{"title":"chapter10 Mixtures and onditional mixtures.pdf <span style='color:#111;'> 318.09KB </span>","children":null,"spread":false},{"title":"chapter12 Hidden Markov Models.pdf <span style='color:#111;'> 193.28KB </span>","children":null,"spread":false},{"title":"chapter11 The EM algorithm.pdf <span style='color:#111;'> 132.05KB </span>","children":null,"spread":false},{"title":"chapter4 Probability Propagation and Fator Graphs.pdf <span style='color:#111;'> 515.47KB </span>","children":null,"spread":false},{"title":"chapter7 Linear classiation.pdf <span style='color:#111;'> 378.42KB </span>","children":null,"spread":false},{"title":"chapter6 Linear Regression and the LMS algorithm.pdf <span style='color:#111;'> 202.73KB </span>","children":null,"spread":false}],"spread":true}]