World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
5005
World Ranking
13959
National Ranking
1688

Best Publications

  • Exploiting causal independence in Bayesian network inference

    Nevin Lianwen Zhang;David Poole

  • Incremental pruning: a simple, fast, exact method for partially observable Markov decision processes

    Anthony Cassandra;Michael L. Littman;Nevin L. Zhang

  • A simple approach to Bayesian network computations

    Nevin L. Zhang;D. Poole

  • Hierarchical Latent Class Models for Cluster Analysis

    Unknown

  • Speeding up the convergence of value iteration in partially observable Markov decision processes

    Unknown

  • Probabilistic inference in influence diagrams

    Unknown

  • Probabilistic Inference in Influence Diagrams

    Unknown

  • Latent tree models and diagnosis in traditional Chinese medicine

    Nevin L. Zhang;Shihong Yuan;Tao Chen;Yi Wang

  • Model-based multidimensional clustering of categorical data

    Tao Chen;Nevin L. Zhang;Tengfei Liu;Kin Man Poon

  • A deep learning–based method for the design of microstructural materials

    Unknown

  • A survey on latent tree models and applications

    Unknown

  • Hidden-mode Markov decision processes for nonstationary sequential decision making

    Samuel P. M. Choi;Dit-Yan Yeung;Nevin L. Zhang

  • GeoMob: A Mobility-aware Geocast Scheme in Metropolitans via Taxicabs and Buses

    Lei Zhang;Boyang Yu;Jianping Pan

  • A computational theory of decision networks

    Nevin L Zhang;Runping Qi;David Poole

  • Efficient learning of hierarchical latent class models

    N.L. Zhang;T. Kocka

  • On the role of context-specific independence in probabilistic inference

    Nevin Lianwen Zhang;David Poole

  • A model approximation scheme for planning in partially observable stochastic domains

    Unknown

  • Latent variable discovery in classification models

    Nevin L Zhang;Thomas D Nielsen;Finn V Jensen

  • Hierarchical latent tree analysis for topic detection

    Unknown

  • Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

    Anthony R. Cassandra;Michael L. Littman;Nevin Lianwen Zhang

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