- StepwiseDecomposable Influence Diagrams (Nevin) Lianwen Zhang and David Poole
- Irrelevance and Parameter Learning in Bayesian Networks
- A COMPUTATIONAL THEORY OF DECISION NETWORKS Nevin Lianwen Zhang
- Hierarchical Latent Class Models and Statistical Foundation for Traditional
- A Computational Theory of Decision Networks Nevin Lianwen Zhang
- Effective Dimensions of Partially Observable Polytrees Tom'as Kocka 1 and Nevin L. Zhang 2
- A Method for Speeding Up Value Iteration in Partially Observable Markov Decision Processes
- Intercausal Independence and Heterogeneous Factorization Nevin Lianwen Zhang
- Inference with Causal Independence in the CPSC Network Nevin Lianwen Zhang
- Incremental computation of the value of perfect information in stepwisedecomposable influence diagrams \Lambda
- Probabilistic Inference in Influence Diagrams Nevin Lianwen Zhang
- Probabilistic Inference in Influence Diagrams Nevin Lianwen Zhang
- Jrl Syst Sci & Complexity (2008) 21: 172183 DISCOVERY OF LATENT STRUCTURES
- Independence of Causal Influence and Clique Tree Propagation Nevin Lianwen Zhang and Li Yan
- 3 (No. 622015) ,,,oe... -- ,, ...fi (973...fi ) ~ (No. 2003CB517101) (1 , ...... , ; 2' --' )
- HiddenMode Markov Decision Processes for Nonstationary Sequential Decision Making
- Hierarchical Latent Class Models for Cluster Analysis Nevin L. Zhang
- Y0: loose stool Y1: indigested grain in stool
- This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and
- Variable Selection in Model-Based Clustering: To Do or To Facilitate Leonard K. M. Poon
- Efficient Model Evaluation in the Search-Based Approach to Latent Structure Discovery
- Quartet-Based Learning of Hierarchical Latent Class Models: Discovery of Shallow Latent Variables
- Efficient Learning of Hierarchical Latent Class Models Nevin L. Zhang
- Dimension Correction for Hierarchical Latent Class Models Tomas Kocka
- Space-Progressive Value Iteration: An Anytime Algorithm for a Class of POMDPs
- v59: Contr. fire v80: Num. fire
- To appear, AAAI-08 1 Latent Tree Models and Approximate Inference in Bayesian Networks
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- Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set
- Minimizing decision table sizes in influence diagrams: dimension shrinking 1
- THE JOURNAL OF ALTERNATIVE AND COMPLEMENTARY MEDICINE Volume 14, Number 5, 2008, pp. 583587
- The Role of Operation Granularity in Search-Based Learning of Latent Tree Models
- Latent Tree Classifier , Nevin L. Zhang2
