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This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics... Læs mere
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This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based... Læs mere
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Large-scale machine learning could prove highly beneficial in the study of earth science, a broad, multidisciplinary field of study that generates huge... Læs mere
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Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under... Læs mere
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The book takes a step-by-step approach to designing and developing various tools for surgeon computer interfaces using the conventional... Læs mere
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This handbook provides a complete overview of the concepts, theories, algorithms, and applications... Læs mere
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Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.
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Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a... Læs mere
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Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The book is ideal for researchers who are working in the domain of cloud computing.
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