Learning Mixtures of Tree Graphical Models
暂无分享,去创建一个
Anima Anandkumar | Sham M. Kakade | Furong Huang | Daniel J. Hsu | S. Kakade | Anima Anandkumar | Furong Huang
[1] Robert B. Ash,et al. Information Theory , 2020, The SAGE International Encyclopedia of Mass Media and Society.
[2] C. N. Liu,et al. Approximating discrete probability distributions with dependence trees , 1968, IEEE Trans. Inf. Theory.
[3] Christopher Meek,et al. Learning Bayesian Networks with Discrete Variables from Data , 1995, KDD.
[4] Joseph T. Chang,et al. Full reconstruction of Markov models on evolutionary trees: identifiability and consistency. , 1996, Mathematical biosciences.
[5] Michael I. Jordan. Graphical Models , 1998 .
[6] Michael I. Jordan,et al. Learning with Mixtures of Trees , 2001, J. Mach. Learn. Res..
[7] Elchanan Mossel,et al. Learning nonsingular phylogenies and hidden Markov models , 2005, Symposium on the Theory of Computing.
[8] N. Meinshausen,et al. High-dimensional graphs and variable selection with the Lasso , 2006, math/0608017.
[9] Elchanan Mossel,et al. Reconstruction of Markov Random Fields from Samples: Some Observations and Algorithms , 2007, SIAM J. Comput..
[10] Lang Tong,et al. A large-deviation analysis for the maximum likelihood learning of tree structures , 2009, 2009 IEEE International Symposium on Information Theory.
[11] J. Lafferty,et al. High-dimensional Ising model selection using ℓ1-regularized logistic regression , 2010, 1010.0311.
[12] Ankur Moitra,et al. Settling the Polynomial Learnability of Mixtures of Gaussians , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[13] Mikhail Belkin,et al. Polynomial Learning of Distribution Families , 2010, 2010 IEEE 51st Annual Symposium on Foundations of Computer Science.
[14] Ali Jalali,et al. On Learning Discrete Graphical Models using Greedy Methods , 2011, NIPS.
[15] Lang Tong,et al. A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures , 2009, IEEE Transactions on Information Theory.
[16] Vincent Y. F. Tan,et al. High-dimensional structure estimation in Ising models: Local separation criterion , 2011, 1107.1736.
[17] Anima Anandkumar,et al. Learning High-Dimensional Mixtures of Graphical Models , 2012, ArXiv.
[18] Anima Anandkumar,et al. A Method of Moments for Mixture Models and Hidden Markov Models , 2012, COLT.