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This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional... Læs mere
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Combined classifiers, which are central to the ubiquitous performance of pattern recognition and machine learning, are generally considered more accurate than single classifiers.
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This is a comprehensive book, providing a thorough analysis of current technologies. It reviews recent research in the field, with plenty of real data... Læs mere
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Beginning with an introductory discussion on the role of neural networks in scientific data... Læs mere
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Suitable for researchers in machine learning, data mining, and computer vision, this book presents discussions on algorithms and applications for dimensionality... Læs mere
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Designed to help researchers with artificial intelligence systems design, robotics, and developing software and hardware... Læs mere
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This collection of state-of-the-art research, methods and new trends in computational vision and medical image-processing features papers presented to the 2009 VIPIMAGE conference. It will be a major contribution to the development of these knowledge areas.
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This book will help students of Computer Science and Information Science to get a better understanding of Biometric Computing and its related... Læs mere
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This book redefines management practices using Artificial Intelligence by providing a new approach. It offers a detailed,... Læs mere
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