MAIN MENU

“Social Recommendation in Dynamic Networks,” Hao Ma, Irwin King, Michael R. Lyu, in Encyclopedia of Social Network Analysis and Mining, pp. 2772-2778, Published by Springer, 2018.
Paper [ML]

“Point-of-Interest Recommendation in Location-Based Social Networks,” Shenglin Zhao, Michael R. Lyu, Irwin King, in Springer Briefs in Computer Science, pp. 1-99, Published by Springer, 2018.
Paper [ML]

“QoS Prediction in Cloud and Service Computing: Approaches and Applications,” Yilei Zhang, Michael R. Lyu, in Springer Briefs in Computer Science, pp. 1-122, Published by Springer, 2017.
Paper [DS]

“QoS-Aware Web Service Recommendation via Collaborative Filtering,” Xi Chen, Zibin Zheng, Michael R. Lyu, in Web Services Foundations, pp. 563-588, Published by Springer, 2014.
Paper [DS]

“Social Recommendation in Dynamic Networks,” Hao Ma, Irwin King, Michael R. Lyu, in Encyclopedia of Social Network Analysis and Mining, pp. 1923-1929, Published by Springer, 2014.
Paper [ML]

“QoS Management of Web Services,” Zibin Zheng, Michael R. Lyu, in Advanced Topics in Science and Technology in China, pp. 1-162, Published by Springer, 2013.
Paper [DS]

“Proceedings of the 2011 IEEE/IFIP 41st International Conference on Dependable Systems and Networks,” Michael R. Lyu (ed.), Sy-Yen Kuo, Published by IEEE Computer Society, 2011.
Paper [SE]

“Sparse Learning Under Regularization Framework: Theory and Applications,” Haiqin Yang, Irwin King, Michael R. Lyu, in , pp. 1-152, Published by LAP LAMBERT Academic Publishing, 2011.
Paper [ML]

“More Than Semi-Supervised Learning: A Unified View on Learning with Labeled and Unlabeled Data,” Zenglin Xu, Irwin King, Michael R. Lyu, in , pp. 1-132, Published by LAP LAMBERT Academic Publishing, 2010.
Paper [ML]

“A Tutorial on RDF with Jena,” Wan Yeung Wong, Tak Pang Lau, Irwin King, Michael R. Lyu, in Services and Business Computing Solutions with XML: Applications for Quality Management and Best Processes, chap. 12, pp. 197-216, Published by IGI Global, 2009.
Paper [ML]

“Machine Learning: Modeling Data Locally and Globally,” Kaizhu Huang, Haiqin Yang, Michael R. Lyu, in Advanced Topics in Science and Technology in China, pp. 1-169, Published by Springer, 2008.
Paper [ML]

“A Tutorial on RDF with Jena,” Wan Yeung Wong, Tak Pang Lau, Irwin King, Michael R. Lyu, in Advances in Electronic Business, vol. 2, chap. 5, pp. 116-140, Published by IGI Global, 2007.
Paper [ML]

“A Novel Discriminative Naive Bayesian Network for Classification,” Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Zhangbing Zhou, in Bayesian Network Technologies: Applications and Graphical Models, chap. 1, pp. 1-12, Published by IGI Global, 2007.
Paper [ML]

“A Framework for Indexing Personal Videoconference,” Jiqiang Song, Michael R. Lyu, Jenq-Neng Hwang, in Video Data Management and Information Retrieval, chao. 13, pp. 293-320, Published by Idea Group Publishing, 2005.
Paper [ML]

“Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine,” Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, in Support Vector Machines: Theory and Applications, pp. 113-131, Published by Springer, 2005.
Paper [ML]

“A Generic Environment for COTS Testing and Quality Prediction,” Xia Cai, Michael R. Lyu, Kam-Fai Wong, in Testing Commercial-off-the-Shelf Components and Systems, pp. 315-347, Published by Springer, 2005.
Paper [SE]

“Improving Chow-Liu Tree Performance by Mining Association Rules,” Kaizhu Huang, Irwin King, Michael R. Lyu, Haiqin Yang, in Neural Information Processing: Research and Development, pp. 94-112, Published by Springer, 2004.
Paper [ML]

“Software Reliability Theory,” Michael R. Lyu, in Encyclopedia of Software Engineering, pp. 1611-1630, Published by Wiley, 2002.
Paper [SE]

“Proceedings of the Tenth International World Wide Web Conference,” Vincent Y. Shen, Nobuo Saito, Michael R. Lyu (ed.), Mary E. Zurko, Published by ACM, 2001.
Paper [DS]

“Pseudoinverse Learning Algorithm for Feedfoword Neural Networks,” Ping Guo, Michael R. Lyu, in Advances in Neural Networks and Applications, pp. 321-326, Published by World Scientific and Engineering Academy and Society, 2001.
Paper [ML]

“Software Reliability,” S. R. Dalal, Michael R. Lyu, C. L. Mallows, in Encyclopedia of Biostatistics, vol. 5, pp. 4550-4555, Published by Wiley, 1998.
Paper [SE]

“Software Reliability Measurement Experience,” Allen P. Nikora, Michael R. Lyu, in Handbook of Software Reliability Engineering, chap. 7, Published by McGraw-Hill, 1996.
Paper [SE]

“Handbook of Software Reliability Engineering,” Michael R. Lyu (ed.), Published by McGraw-Hill, 1996.
Paper [SE]

“Software Reliability Process Simulation,” Robert C. Tausworthe, Michael R. Lyu, in Handbook of Software Reliability Engineering, chap. 16, Published by McGraw-Hill, 1996.
Paper [SE]

“Dependability Modeling for Fault-Tolerant Software & Systems,” Joanne B. Dugan, Michael R. Lyu, in Software Fault Tolerance, chap. 5, pp. 109-138, Published by Wiley, 1995.
Paper [SE]

“Software Fault Tolerance,” Michael R. Lyu (ed.), Published by Wiley, 1995.
Paper [SE]

“System-Level Reliability and Sensitivity Analyses for Three Fault-Tolerant System Architectures,” Joanne B. Dugan, Michael R. Lyu, in Dependable Computing and Fault-Tolerant Systems, vol. 9, pp.459-477, Published by Springer, 1994.
Paper [SE]

“Assuring Design Diversity in N-Version Software: A Design Paradigm for N-Version Programming,” Michael R. Lyu, Algirdas Avizienis, in Fault-Tolerant Software Systems: Techniques and Applications, pp. 45-54, Published by IEEE Computer Society Press, 1992.
Paper [SE]

“Assuring Design Diversity in N-Version Software: A Design Paradigm for N-Version Programming,” Michael R. Lyu, Algirdas Avizienis, in Dependable Computing and Fault-Tolerant Systems, vol. 6, pp. 197-218, Published by Springer, 1992.
Paper [SE]

“DEDIX 87: A Supervisory System for Design Diversity Experiments at UCLA,” Algirdas Avizienis, Michael R. Lyu, Werner Schuetz, Kam-Sing Tso, Udo Voges, in Software Diversity in Computerized Control Systems, pp. 129-168, Published by Springer, 1988.
Paper [SE]