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Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
This volume is a selection of papers presented at the Fourth International Workshop on Artificial Intelligence and Statistics held in January 1993. These biennial workshops have succeeded in bringing together researchers from Artificial Intelligence and from Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encour aged interdisciplinary work. The theme ofthe 1993 AI and Statistics workshop was: "Selecting Models from Data". The papers in this volume attest to the diversity of approaches to model selection and to the ubiquity of the problem. Both statistics and artificial intelligence have independently developed approaches to model selection and the corresponding algorithms to implement them. But as these papers make clear, there is a high degree of overlap between the different approaches. In particular, there is agreement that the fundamental problem is the avoidence of "overfitting"-Le., where a model fits the given data very closely, but is a poor predictor for new data; in other words, the model has partly fitted the "noise" in the original data.
Including entries from disciplines across the social sciences, this two-volume set provides coverage of a variety of issues related to the theory, research, practice and policy of health within a family context.
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Proceedings of the 4th International Symposium on Software Reliability Engineering held in Denver, Colorado, in November 1993. Among the topics: fault tolerant software, software reliability expectations, and simulation programming. Acidic paper. No index. Annotation copyright Book News, Inc. Portla
The continued growth in the design and implementation of software systems that utilize the principles of software engineering led to the calling of this landmark conference. It was an opportunity for vendors, academics, practitioners and graduate students to discuss experiences, problems and successes in software systems and the real effects that 'Software Engineering' methodologies have actually had in the world of computer software.
Social science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner. This book provides an introduction and overview of several statistical models desig...
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