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There will be a Colloquium on November 16 at 10:00 AM by Daniel S. Young

Wednesday November 16

E&CS Building Auditorium (1st Floor)

TIME: 10:00 AM

Title: A Sensitivity Based Generalization Error Model for Supervised Learning Problems

Speaker: Daniel S. Young, South China University

Abstract:

Generalization error model provides a theoretical support for aclassifier's performance in terms of prediction accuracy. However, existingmodels give very loose error bounds. This explains why classificationsystems generally rely on experimental validation for their claims onprediction accuracy. In this talk we will revisit this problem and explorethe idea of developing a new generalization error model based on theassumption that only prediction accuracy on unseen points in aneighbourhood of a training point will be considered, since it will beunreasonable to require a classifier to accurately predict unseen points"far away" from training samples. The new error model makes use of theconcept of sensitivity measure for multiplayer feedforward neural networks(Multilayer Perceptrons or Radial Basis Function Neural Networks). The newmodel was developed for both single and multiple classifier systems. Itsusefulness is demonstrated in the problems of architecture selection andfeature reduction for RBFNN classifiers. A number of experimental resultson image classification, content based information retrieval and bankruptcyprediction will be presented.

Bio:

Daniel S. Yeung (Ph.D., M.Sc., M.B.A., M.S., M.A., B.A.) is the Junior PastPresident of the IEEE Systems, Man and Cybernetics (SMC) Society, a Fellow ofthe IEEE and an IEEE Distinguished Lecturer. He received the Ph.D.degree in applied mathematics from Case Western Reserve University. In thepast, he has worked as an Assistant Professor of Mathematics and ComputerScience at Rochester Institute of Technology, as a Research Scientist inthe General Electric Corporate Research Center, and as a System IntegrationEngineer at TRW, all in the United States. He was the chairman of theDepartment of Computing, The Hong Kong Polytechnic University, Hong Kong,and a Chair Professor from 1999 to 2006. Currently he is a Chair Professor inthe School of Computer Science and Engineering, South China University ofTechnology, Guangzhou, China.

His current research interests include neural-network sensitivity analysis,data mining, and fuzzy rough set. He was the Chairman of IEEE Hong KongComputer Chapter (91and 92), an associate editor for both IEEE Transactions onNeural Networks and IEEE Transactions on SMC (Part B), and for theInternational Journal on Wavelet and Multiresolution Processing. He hasserved as the President (2008 and 2009), President-Elect (2007), a member ofthe Board of Governors, Vice President for Technical Activities, and VicePresident for Long Range Planning and Finance for the IEEE SMCSociety. He co-founded and served as a General Co-Chair since 2002 for theInternational Conference on Machine Learning and Cybernetics held annually inChina. He also served as a General Co-Chair (Technical Program) of the 2006International Conference on Pattern Recognition. He is also thefounding Chairman of the IEEE SMC Hong Kong Chapter.

His past teaching and academic administrative positions include a ChairProfessor and Head at Department of Computing, The Hong Kong PolytechnicUniversity, the Head of the Management Information Unit at the Hong KongPolytechnic University, Associate Head/Principal Lecturer at the Department ofComputer Science, City Polytechnic of Hong Kong, a tenured AssistantProfessor at the School of Computer Science and Technology and an AssistantProfessor at the Department of Mathematics, both at Rochester Institute ofTechnology, Rochester, New York.

He also held industrial and business positions as a TechnicalSpecialist/Application Software Group Leader at the Computer Consoles,Inc., Rochester, New York, an Information Resource Sub-manager/StaffEngineer at the Military and Avionics Division, TRW Inc., San Diego,California, and an Information Scientist of the Information SystemOperation Lab, General Electric Corporate Research and Development Centre,Schenectady, New York.