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The Third International Conference on Data Engineering was held in Los Angeles, California on February 2 to 6, 1987. The conference was designed as an international forum for bringing together researchers, developers, managers, strategic planners and other users with an interest in the research, design and development of data engineering methodologies, strategies and systems. Its scope includes computer science, artificial intelligence, electrical engineering, and computer engineering. It featured papers from all major areas of data engineering, including database design and modeling, performance evaluation, algorithms, integrity, security, fault tolerance, query language, artificial intelligence approaches, knowledge bases, database machines, distributed databases and data engineering applications.

The generalization error bounds found by current error models using the number of effective parameters of a classifier and the number of training samples are usually very loose. These bounds are intended for the entire input space. However, support vector machine (SVM), radial basis function neural network (RBFNN), and multilayer perceptron neural network (MLPNN) are local learning machines for solving problems and treat unseen samples near the training samples to be more important. In this paper, we propose a localized generalization error model which bounds from above the generalization error within a neighborhood of the training samples using stochastic sensitivity measure. It is then used to develop an architecture selection technique for a classifier with maximal coverage of unseen samples by specifying a generalization error threshold. Experiments using 17 University of California at Irvine (UCI) data sets show that, in comparison with cross validation (CV), sequential learning, and two other ad hoc methods, our technique consistently yields the best testing classification accuracy with fewer hidden neurons and less training time. [ABSTRACT FROM AUTHOR]

The article provides information on the joint IEEE Conference on E-commerce Technology (CEC '06) and Conference on Enterprise Computing, E-commerce and E-computing (EEE '06) to be held on June 26-29, 2006, in San Francisco, California. The event will provide a platform for researchers interested in the theory and practice of e-commerce and enterprise computing. It will focus on new technologies and methods for business process innovation. The joint programs of the two conferences will comprise tutorials, invited lectures, paper presentations, and panel discussions.

This article presents several awards that recognize outstanding achievements in computer science and engineering developed by the Institute of Electrical and Electronics Engineers Inc. Computer Society at a gathering in Long Beach, California. Murali Varanasi, a professor at the University of North Texas, is recognized for his contributions to education and to the society. The society also recognizes Krishan Sabnani in his strides in developing communication network protocols. The board of governors chose database pioneer Wesley Chu to receive the Society's 2003 Technical Achievement Award. INSETS: Software Developers Earn Professional Certification.;IEEE Computer Society Announces New Standards Committee.;IEEE Educational Activities Board Honors Computer Society..