Zhang, Nevin Lianwen

31 publications

MLJ 2015 Greedy Learning of Latent Tree Models for Multidimensional Clustering Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, April Hua Liu, Leonard K. M. Poon, Yi Wang

AAAI 2015 Unidimensional Clustering of Discrete Data Using Latent Tree Models April H. Liu, Leonard K. M. Poon, Nevin Lianwen Zhang

ECML-PKDD 2014 Hierarchical Latent Tree Analysis for Topic Detection Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen

JAIR 2013 A Survey on Latent Tree Models and Applications Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray

UAI 2012 A Model-Based Approach to Rounding in Spectral Clustering Leonard K. M. Poon, April H. Liu, Tengfei Liu, Nevin Lianwen Zhang

ICML 2010 Variable Selection in Model-Based Clustering: To Do or to Facilitate Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen, Yi Wang

AAAI 2008 Latent Tree Models and Approximate Inference in Bayesian Networks Yi Wang, Nevin Lianwen Zhang, Tao Chen

JAIR 2008 Latent Tree Models and Approximate Inference in Bayesian Networks Yi Wang, Nevin Lianwen Zhang, Tao Chen

JAIR 2005 Restricted Value Iteration: Theory and Algorithms Weihong Zhang, Nevin Lianwen Zhang

JAIR 2004 Effective Dimensions of Hierarchical Latent Class Models Nevin Lianwen Zhang, Tomás Kocka

JAIR 2003 Exploiting Contextual Independence in Probabilistic Inference David L. Poole, Nevin Lianwen Zhang

UAI 2002 Dimension Correction for Hierarchical Latent Class Models Tomás Kocka, Nevin Lianwen Zhang

AAAI 2002 Hierarchical Latent Class Models for Cluster Analysis Nevin Lianwen Zhang

AAAI 2002 Value Iteration Working with Belief Subset Weihong Zhang, Nevin Lianwen Zhang

AISTATS 2001 Solving Hidden-Mode Markov Decision Problems Samuel Ping-Man Choi, Nevin Lianwen Zhang, Dit-Yan Yeung

JAIR 2001 Speeding up the Convergence of Value Iteration in Partially Observable Markov Decision Processes Nevin Lianwen Zhang, Weihong Zhang

UAI 1999 A Method for Speeding up Value Iteration in Partially Observable Markov Decision Processes Nevin Lianwen Zhang, Stephen S. Lee, Weihong Zhang

NeurIPS 1999 An Environment Model for Nonstationary Reinforcement Learning Samuel P. M. Choi, Dit-Yan Yeung, Nevin Lianwen Zhang

IJCAI 1999 On the Role of Context-Specific Independence in Probabilistic Inference Nevin Lianwen Zhang, David L. Poole

UAI 1998 Planning with Partially Observable Markov Decision Processes: Advances in Exact Solution Method Nevin Lianwen Zhang, Stephen S. Lee

UAI 1998 Probabilistic Inference in Influence Diagrams Nevin Lianwen Zhang

JAIR 1997 A Model Approximation Scheme for Planning in Partially Observable Stochastic Domains Nevin Lianwen Zhang, Wenju Liu

UAI 1997 Fast Value Iteration for Goal-Directed Markov Decision Processes Nevin Lianwen Zhang, Weihong Zhang

UAI 1997 Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang

UAI 1997 Independence of Causal Influence and Clique Tree Propagation Nevin Lianwen Zhang, Li Yan

UAI 1997 Region-Based Approximations for Planning in Stochastic Domains Nevin Lianwen Zhang, Wenju Liu

JAIR 1996 Exploiting Causal Independence in Bayesian Network Inference Nevin Lianwen Zhang, David L. Poole

UAI 1995 Inference with Causal Independence in the CPSC Network Nevin Lianwen Zhang

UAI 1994 Intercausal Independence and Heterogeneous Factorization Nevin Lianwen Zhang, David L. Poole

UAI 1994 Solving Asymmetric Decision Problems with Influence Diagrams Runping Qi, Nevin Lianwen Zhang, David L. Poole

UAI 1993 Incremental Computation of the Value of Perfect Information in Stepwise-Decomposable Influence Diagrams Nevin Lianwen Zhang, Runping Qi, David L. Poole