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 Applied Ontology Engineering in Cloud Services, Networks and Management Systems
Metadata standards in today’s ICT sector are proliferating at unprecedented levels, while automated information management systems collect and process exponentially increasing quantities of data. With interoperability and knowledge exchange identified as a core challenge in the sector, this book examines the role ontology engineering... |  |  Bayesian Analysis of Item Response Theory Models Using SAS
Written especially for psychometricians, scale developers, and practitioners interested in applications of Bayesian estimation and model checking of item response theory (IRT) models, this book teaches you how to accomplish all of this with the SAS MCMC Procedure. Because of its tutorial structure, Bayesian Analysis of Item Response... |  |  Classification of Services in the Digital Economy
The classification of services in the digital economy proves critical for doing business, but it appears to be a particularly complex regulatory matter that is based upon a manifold set of issues. In the context of the General Agreement on Trade in Services (GATS), when the services classification scheme was drafted in the early 1990s,... |
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 MATLAB Differential Equations
MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... |  |  Fourier Analysis: An Introduction (Princeton Lectures in Analysis)
This first volume, a three-part introduction to the subject, is intended for students with a beginning knowledge of mathematical analysis who are motivated to discover the ideas that shape Fourier analysis. It begins with the simple conviction that Fourier arrived at in the early nineteenth century when studying problems in the physical... |  |  Subband Adaptive Filtering: Theory and Implementation
Subband adaptive filtering is rapidly becoming one of the most effective techniques for reducing computational complexity and improving the convergence rate of algorithms in adaptive signal processing applications. This book provides an introductory, yet extensive guide on the theory of various subband adaptive filtering techniques. For... |
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