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Data Mining in Biomedicine
This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.
No Innocent Deposits
The public increase of interest in the past has not necessarily brought with it a greater understanding about how archives are formed. To this end, Richard Cox takes a serious look at archival repositories and collections. Cox suggests that archives do not just happen, but are consciously shaped (and sometimes distorted) by archivists, the creators of records, and other individuals and institutions. In this series of essays, Cox offers archivists rare insight into the fundamentals of appraisal, and historians and other users of archives the opportunity to appreciate the collections they all too often take for granted.
Developing a Digital National Library for Undergraduate Science, Mathematics, Engineering and Technology Education
In 1996, the National Science Foundation (NSF) released a report about ways to improve undergraduate science, mathematics, engineering, and technology (SME&T) education. One recommendation called for establishing a digital library, similar to those that are being constructed for many research communities, that would make available electronically a wide variety of materials for improving teaching and learning of SME&T. The NSF asked the National Research Council to examine the feasibility of and issues associated with establishing such a digital national library. In response, an NRC steering committee commissioned a series of papers and convened a workshop to consider these issues. This resulting book delineates the issues that should be considered and provides recommendations to resolve them prior to committing funds.
Research and Advanced Technology for Digital Libraries
This book constitutes the refereed proceedings of the 7th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2003, held in Trondheim, Norway in August 2003. The 39 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 161 submissions. The papers are organized in topical sections on uses, users, and user interfaces; metadata applications; annotation and recommendation; automatic classification and indexing; Web technologies; topical crawling and subject gateways; architectures and systems; knowledge organization; collection building and management; information retrieval; digital preservation; and indexing and searching of special documents and collection information.
Intelligent Systems
Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.
Computational Maps in the Visual Cortex
For more than 30 years, the visual cortex has been the source of new theories and ideas about how the brain processes information. The visual cortex is easily accessible through a variety of recording and imagining techniques and allows mapping of high level behavior relatively directly to neural mechanisms. Understanding the computations in the visual cortex is therefore an important step toward a general theory of computational brain theory.
Advances in Computers
This present volume describes some of the latest advances in the computer science field today. This current volume emphasizes information processing with chapters on artificial intelligence, data bases and software engineering. In particular it looks at the interfaces between AI and software development with chapters on how AI affects the development of correct programs, and conversely, how software engineering can affect the development of correct AI programs.Key Features:* In-depth surveys and tutorials on new computer technology.* Well-known authors and researchers in the field.* Extensive bibliographies with most chapters.* Impact of AI on software development and impact of software deve...
Kleinian Groups and Uniformization in Examples and Problems
Presents a unified exposition of the main areas and methods of the theory of Kleinian groups and the theory of uniformization of manifolds. This book lists the basic facts regarding Kleinian groups and serves as a general guide to the primary literature, particularly the Russian literature in the field.
Multisensor Fusion
The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines. The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation. In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.
