bayesian network learning

本文介绍了Wong Man-leung博士的研究成果,涵盖了使用进化算法进行数据挖掘的各种方法,包括贝叶斯网络的学习、遗传编程的应用及模型基础聚类等。此外,文章还探讨了进化算法在解决实际问题中的应用案例。
Dr Wong Man-leung

http://cptra.ln.edu.hk/staffProfile/mlwong.htm



Dr WONG Man-leung

Publications

Journal Articles

Cui, G., Wong, M. L., and Lui, H. K., " Machine Learning for Direct Marketing Response Models: Bayesian Networks with Evolutionary Programming, " Management Science, 52, pp. 597-612., 2006.

Fok, K. L., Wong, T. T., and Wong, M. L., " Evolutionary Computing on Consumer-Level Graphics Hardware, " IEEE Intelligent Systems. (Accepted).

Wong, M. L., " Evolving Recursive Programs by Using Adaptive Grammar Based Genetic Programming, " Genetic Programming and Evolvable Machines, 6, pp. 421-455., 2005. [PDF]

Jin, H. D., Wong, M. L., and Leung, K. S., " Scalable Model-based Clustering of Large Databases through Working on Data Summary, " IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, pp. 1710-1719., 2005. [PDF]

Jin, H. D., Leung, K. S., Wong, M. L., and Xu, Z. B., " Scalable Model-Based Cluster Analysis Using Clustering Features, " Pattern Recognition, 38, pp. 637-649., 2005. [PDF]

Wong, M. L. and Leung, K. S., " An Efficient Data Mining Method for Learning Bayesian Networks Using an Evolutionary Algorithm Based Hybrid Approach, " IEEE Transactions on Evolutionary Computation, 8, pp. 378-404., 2004. [PDF]

Wong, M. L., Lee, S. Y., and Leung, K. S., " Data Mining of Bayesian Networks Using Cooperative Coevolution, " Decision Support Systems, 38, pp. 451-472., 2004. [PDF]

Cui, G. and Wong, M. L., "Implementing Neural Networks for Decision Support in Direct Marketing, " International Journal of Market Research, 46, pp. 235-254., 2004.

Jin, H. D., Shum, W. H., Leung, K. S., and Wong, M. L., " Expanding Self-organizing Map for Data Visualization and its Application on Clustering Analysis, " Information Sciences, 163, pp. 157-173., 2004. [PDF]

Jin, H. D., Leung, K. S., Wong, M. L., and Xu, Z. B., "An Efficient Self-Organizing Map Designed by Genetic Algorithms for the Traveling Salesman Problem, " IEEE Transactions on Systems, Man, and Cybernetic: Part B, 33, pp. 877-888., 2003. [PDF]

Leung, K. S., Wong, M. L., Lam, W., Wang, Z. Y., and Xu, K. B., "Learning Nonlinear Integral Networks Based on Evolutionary Computation," IEEE Transactions on Systems, Man, and Cybernetic: Part B, 32, pp. 630-644., 2002. [PDF]

Wong, M. L., "A Flexible Knowledge Discovery System using Genetic Programming and Logic Grammars," Decision Support Systems, 31, pp. 405-428., 2001. [PDF]

Xu, K., Wang, Z. Y., Wong, M. L., and Leung, K. S., "Discover Dependency Pattern Among Attributes by Using a new Type of Nonlinear Regression, " International Journal of Intelligent Systems, 16, pp. 949-962., 2001.

Wong, M. L., Leung, K. S., and Cheng, J. C. Y., "Discovering Knowledge from Noisy Databases using Genetic Programming," Journal of the American Society for Information Science, 51, pp. 870-881., 2000. [PDF]

Wong, M. L., Lam, W., Leung, K. S., Ngan, P. S., and Cheng, J. C. Y., "Discovering Knowledge from Medical Databases Using Evolutionary Algorithms," IEEE Engineering in Medicine and Biology Magazine, 19, no. 4, pp. 45-55., 2000.

Wang, Z. Y., Leung, K. S., Wong, M. L., Fang, J., and Xu, K., " Nonlinear Non-negative Multi-Regressions Based on Choquet," International Journal of Approximate Reasoning, 25, pp. 71-87., 2000.

Wang, Z. Y., Leung, K. S., Wong, M. L., and Fang, J., "A New Type of Nonlinear Integrals and the Computational Algorithm," Fuzzy Sets and Systems, 112, pp. 223-231., 2000.

Wong, M. L., Lam, W., and Leung, K. S., "Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks," IEEE Transactions on Pattern Analysis and Machine Intelligence, 21, no. 2, pp.174-178., 1999. [PDF]

Ngan, P. S., Wong, M. L., Lam, W., Leung, K. S., and Cheng, J. C. Y., " Medical Data Mining Using Evolutionary Computation," Artificial Intelligent in Medicine, 16, pp. 73-96., 1999. [PDF]

Wong, M. L., "An Adaptive Knowledge Acquisition System using Generic Genetic Programming," Expert Systems with Applications, 15, no. 1, pp.47-58.,1998. [PDF]

Wong, M. L. and Leung, K. S., "Evolutionary Program Induction Directed by Logic Grammars," Evolutionary Computation, 5, pp. 143-180.,1997. [PDF]

Wong, M. L. and Leung, K. S., "Inducing Logic Programs with Genetic Algorithms: The Genetic Logic Programming System," IEEE Expert, 9, no. 5, pp. 68-76., 1995. [PDF]

Leung, K. S. and Wong, M. L., "Inducing and Refining Rule-Based Knowledge from Inexact Examples, " Knowledge Acquisition, 3, pp. 291-315., 1991.

Leung, K. S. and Wong, M. L., "Automatic Refinement of Knowledge Bases with Fuzzy Rules, " Knowledge-Based Systems, 4, pp. 231-246., 1991.


Conference Papers

Wong, M. L. and Wong, T. T., " Parallel Hybrid Genetic Algorithms on Consumer-Level Graphics Hardware," Proceedings of IEEE Congress on Evolutionary Computation 2006 (CEC'06), 2006.

Guo, Y. Y., Wong, M. L., and Cai, Z. H., " A Novel Hybrid Evolutionary Algorithm for Learning Bayesian Networks from Incomplete Data," Proceedings of IEEE Congress on Evolutionary Computation 2006 (CEC'06), 2006.

Shum, W. H., Leung, K. S., and Wong, M. L., " Learning Non-Overlapping Rules with Genetic Programming," Proceedings of IEEE Congress on Evolutionary Computation 2006 (CEC'06), 2006.

Wong, M. L., Wong, T. T., and Fok, K. L., " Parallel Evolutionary Algorithms on Graphics Processing Unit," Proceedings of IEEE Congress on Evolutionary Computation 2005 (CEC'05), pp. 2286-2293., 2005. [PDF]

Shum, W. H., Leung, K. S., and Wong, M. L., " Co-evolutionary Rule-Chaining Genetic Programming," Proceedings of the 2005 IDEAL Conference, Lecture Notes in Computer Science, 3578, pp. 546-554., 2005.

Shum, W. H., Leung, K. S., and Wong, M. L., " Learning Functional Dependency Networks Based on Genetic Programming," Proceedings of the 2005 IEEE International Conference on Data Mining, pp. 394-401., 2005. [PDF]

Wong, M. L., " Applying Adaptive Grammar Based Genetic Programming in Evolving Recursive Programs," Proceedings of the First Asian-Pacific Workshop on Genetic Programming, pp. 1-8., 2003. [PDF]

Jin, H. D. and Wong, M. L., " Adaptive Diversity Maintenance and Convergence Guarantee in Multiobjective Evolutionary Algorithms," Proceedings of IEEE Congress on Evolutionary Computation 2003 (CEC'03), pp. 2498-2505., 2003. [PDF]

Jin, H. D., Wong, M. L., and Leung, K. S.," A Scalable Model-based Clustering by Working on Data Summaries," Proceedings of the Third IEEE International Conference on Data Mining (ICDM'03), pp. 91-98., 2003. [PDF]

Wong, M. L., Lee, S. Y., and Leung, K. S.," A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming," Proceedings of the 2002 IEEE International Conference on Data Mining, pp. 498-505., 2002. [PDF]

Wong, M. L., Lee, S. Y., and Leung, K. S.," A Hybrid Data Mining Approach to Discover Bayesian Networks Using Evolutionary Programming," Proceedings of the 2002 Genetic and Evolutionary Computation Conference, pp. 214-221., 2002. [PDF]

Wong, M. L., Lee, S. Y., and Leung, K. S.," A Hybrid Approach to Learn Bayesian Networks Using Evolutionary Programming," Proceedings of 2002 Congress on Evolutionary Computation, pp. 1314-1319., 2002. [PDF]

Shum, W. H., Jin, H. D., Leung, K. S., and Wong, M. L.," A Self-Organizing Map with Expanding Force for Data Clustering and Visualization," Proceedings of the 2002 IEEE International Conference on Data Mining, pp. 434-441., 2002.

Jin, H. D., Leung, K. S., and Wong, M. L.," Scaling-up Model-based Clustering Algorithm by Working on Clustering Features," Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning, pp. 569-575., 2002. [PDF]

Jin, H. D., Leung, K. S., and Wong, M. L.," An Expectation-Maximization Algorithm Working on Data Summary," Proceedings of the Second International Workshop on Intelligent Systems Design and Applications, 2002. [PDF]

Cui, G. and Wong, M. L.," Data Mining for Decision Making in Direct Marketing: A Bayesian Networks Approach with Evolutionary Programming," Proceedings of the First International Conference on Electronic Business, pp. 415-417., 2001. [PDF]

Wong, M. L.," Using Evolutionary Algorithms for Data Mining," Proceedings of 2001 ACME Conference, 2001.

Jin, H. D., Leung, K. S., and Wong, M. L.," An Integrated Self-Organizing Map for the Traveling Salesman Problem," Advances in Neural Networks and Applications, pp. 235-240., 2001. [PDF]

Jin, H. D., Leung, K. S., and Wong, M. L.," A Genetic Algorithm-guided Model-based Clustering Algorithm," Proceedings of the International Conference on Artificial Intelligence, pp.653-659., 2001. [PDF]

Lee, S. Y., Leung, K. S., and Wong, M. L.," Improving the Efficiency of Using Evolutionary Programming for Bayesian Network Learning," Late Breaking Papers of the 2001 Genetic and Evolutionary Computation Conference, pp. 252-259., 2001.

Jin, H. D., Leung, K. S., and Wong, M. L.," Designing an Expanded SOM for Traveling Salesman Problem by Genetic Algorithms," Proceedings of the 2000 Genetic and Evolutionary Computation Conference, pp. 1079., 2000.

Leung, K. S., Wong, M. L., and Lam, W.," Applying Evolutionary Computation to Discover Knowledge from Medical Databases," Proceedings of International Workshop on Evolutionary Computation, pp. 100-113., 2000.

Wong, M. L., Lam, W., Leung, K. S., and Cheng, J. C. Y., "Discovering Knowledge from Medical Databases," Proceedings of the 5th International Conference on Information Systems Analysis and Synthesis, 1999. [PDF]

Wong, M. L., Lam, W., Leung, K. S., and Cheng, J. C. Y., "Applying Evolutionary Algorithms to Discover Knowledge from Medical Databases," Proceedings of IEEE International Conference on Systems, Man, and Cybernetic, 1999. [PDF]

Wong, M. L. and Leung, K. S., "Applying Generic Genetic Programming and Cellular Encodings to learn Fuzzy Petri Nets," Proceedings of the 4th Joint Conference of Information Science, 1998. [PDF]

Lam, W., Wong, M. L., Leung, K. S., and Ngan, P. S. , "Discover Probabilistic Knowledge from Databases Using Evolutionary Computation and Minimum Description Length Principle," Genetic Programming 1998: Proceedings of the Third Annual Conference, 1998. [PDF]

Ngan, P. S., Wong, M. L., Leung, K. S., and Cheng, J. C. Y., "Using Grammar Based Genetic Programming for Data Mining of Medical Knowledge," Genetic Programming 1998: Proceedings of the Third Annual Conference, 1998. [PDF]

Leung, K. S., Wong, M. L., Lam, W., and Wang, Z. Y., "Discovering Nonlinear Integral Networks from Databases Using Evolutionary Computation and Minimum Description Length Principle," Proceedings of IEEE International Conference on Systems, Man, and Cybernetic, 1998.

Wong, M. L., "Evolving Fuzzy Petri Nets Using Generic Genetic Programming and Cellular Encodings," Proceedings of the Second International ICSC Symposium on Soft Computing, 1997.

Wong, M. L. and Leung, K. S., "Learning Recursive Functions from Noisy Examples using Generic Genetic Programming," In J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo (editors) Genetic Programming 1996: Proceedings of the First Annual Conference. pp. 238-246., 1996. [PDF]

Wong, M. L. and Leung, K. S., "The Logic Grammars Based Genetic Programming System," In J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo (editors) Genetic Programming 1996: Proceedings of the First Annual Conference. pp. 433., 1996. [PDF]

Wong, M. L. and Leung, K. S., " An adaptive Inductive Logic Programming system using Genetic Programming," Proceedings of the Fourth Annual Conference on Evolutionary Programming, pp. 737-752., 1995. [PDF]

Wong, M. L. and Leung, K. S., " Learning Programs in Different Paradigms using Genetic Programming," Proceedings of the Fourth Congress of the Italian Association for Artificial Intelligence, pp. 353-364., 1995. [PDF]

Wong, M. L. and Leung, K. S., " An Induction System that Learns Programs in different Programming Languages using Genetic Programming and Logic Grammars," Proceedings of the 7th IEEE International Conference on Tools with Artificial Intelligence, pp. 380-387, 1995. [PDF]

Wong, M. L. and Leung, K. S., " Combining Genetic Programming and Inductive Logic Programming using Logic Grammars," Proceedings of the 1995 IEEE International Conference on Evolutionary Computing, pp. 733-736., 1995. [PDF]

Wong, M. L. and Leung, K. S., " Applying Logic Grammars to Induce sub-functions in Genetic Programming," Proceedings of the 1995 IEEE International Conference on Evolutionary Computing, pp. 737-740., 1995. [PDF]

Wong, M. L. and Leung, K. S., " Learning First-order Relations from Noisy Databases using Genetic Algorithms," Proceedings of the Second Singapore International Conference on Intelligent Systems, pp. B159-164., 1994. [PDF]


Books

Wong, M. L. and Leung, K. S., Data Mining Using Grammar Based Genetic Programming and the Applications. Kluwer Academic Publishers, 1999.


Book Chapters

Wong, T. T. and Wong, M. L., " Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit," In Genetic Systems Programming: Theory and Applications. Springer-Verlag, (Accepted).

Wong, M. L., Lee, S. Y., and Leung, K. S., " Using Cooperative Coevolution for Data Mining of Bayesian Networks," In Knowledge Discovery in Advanced Information Systems. Springer-Verlag, 2004.

Cui, G. and Wong, M. L., " Data Mining in Marketing Using Bayesian Networks and Evolutionary Programming," In E-Commerce and Intelligent Methods. pp. 198- 214. Springer-Verlag, 2002.

Wong, M. L., Lam, W., Leung, K. S., " A Medical Data Mining Application Based on Evolutionary Computation," In Medical data mining and knowledge discovery. Springer-Verlag, 2000.

Wong, M. L. and Leung, K. S.,"Evolving recursive functions for the even-parity problem using genetic programming," In P. J. Angeline and K. E. Kinnear, Jr. (Eds.) Advances in Genetic Programming 2. pp. 221- 240. MA: MIT Press, 1996.

Wong, M. L. and Leung, K. S., " Inductive Logic Programming Using Genetic Algorithms," In J. W. Brahan and G. E. Lasker (Eds.) Advances in Artificial Intelligence - Theory and Application II. pp. 119-124. Ontario: I.I.A.S., 1994.

Leung, K. S. and Wong, M. L., " AKARS-1: an Automatic Knowledge Acquisition and Refinement System," In H. Motada, R. Mizoguchi, J. Boose, and B. Gaines (Eds.) Knowledge Acquisition for Knowledge-Based Systems. Amsterdam: IOS Press, 1991.


内容概要:本文档是一份关于交换路由配置的学习笔记,系统地介绍了网络设备的远程管理、交换机与路由器的核心配置技术。内容涵盖Telnet、SSH、Console三种远程控制方式的配置方法;详细讲解了VLAN划分原理及Access、Trunk、Hybrid端口的工作机制,以及端口镜像、端口汇聚、端口隔离等交换技术;深入解析了STP、MSTP、RSTP生成树协议的作用与配置步骤;在路由部分,涵盖了IP地址配置、DHCP服务部署(接口池与全局池)、NAT转换(静态与动态)、静态路由、RIP与OSPF动态路由协议的配置,并介绍了策略路由和ACL访问控制列表的应用;最后简要说明了华为防火墙的安全区域划分与基本安全策略配置。; 适合人群:具备一定网络基础知识,从事网络工程、运维或相关技术岗位1-3年的技术人员,以及准备参加HCIA/CCNA等认证考试的学习者。; 使用场景及目标:①掌握企业网络中常见的交换与路由配置技能,提升实际操作能力;②理解VLAN、STP、OSPF、NAT、ACL等核心技术原理并能独立完成中小型网络搭建与调试;③通过命令示例熟悉华为设备CLI配置逻辑,为项目实施和故障排查提供参考。; 阅读建议:此笔记以实用配置为主,建议结合模拟器(如eNSP或Packet Tracer)动手实践每一条命令,对照拓扑理解数据流向,重点关注VLAN间通信、路由选择机制、安全策略控制等关键环节,并注意不同设备型号间的命令差异。
多旋翼无人机组合导航系统-多源信息融合算法(Matlab代码实现)内容概要:本文围绕多旋翼无人机组合导航系统,重点介绍了基于多源信息融合算法的设计与实现,利用Matlab进行代码开发。文中采用扩展卡尔曼滤波(EKF)作为核心融合算法,整合GPS、IMU(惯性测量单元)、里程计和电子罗盘等多种传感器数据,提升无人机在复杂环境下的定位精度与稳定性。特别是在GPS信号弱或丢失的情况下,通过IMU惯导数据辅助导航,实现连续可靠的位姿估计。同时,文档展示了完整的算法流程与Matlab仿真实现,涵盖传感器数据预处理、坐标系转换、滤波融合及结果可视化等关键环节,体现了较强的工程实践价值。; 适合人群:具备一定Matlab编程基础和信号处理知识,从事无人机导航、智能控制、自动化或相关领域研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①应用于多旋翼无人机的高精度组合导航系统设计;②用于教学与科研中理解多传感器融合原理与EKF算法实现;③支持复杂环境下无人机自主飞行与定位系统的开发与优化。; 阅读建议:建议结合Matlab代码与理论推导同步学习,重点关注EKF的状态预测与更新过程、多传感器数据的时间同步与坐标变换处理,并可通过修改噪声参数或引入更多传感器类型进行扩展实验。
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