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Modeling and Reasoning with Bayesian Networks
This book is a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real-world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The treatment of exact algorithms covers the main inference paradigms based on elimination and conditioning and includes advanced methods for compiling Bayesian networks, time-space tradeoffs, and exploiting local structure of massively connected networks. The treatment of approximate algorithms covers the main inference paradigms based on sampling and optimization and includes influential algorithms such as importance sampling, MCMC, and belief propagation. The author assumes very little background on the covered subjects, supplying in-depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
Nonlinear Model Predictive Control
This book offers readers a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC schemes with and without stabilizing terminal constraints are detailed, and intuitive examples illustrate the performance of different NMPC variants. NMPC is interpreted as an approximation of infinite-horizon optimal control so that important properties like closed-loop stability, inverse optimality and suboptimality can be derived in a uniform manner. These results are complemented by discussions of feasibility and robustness. An introduction to nonlinear optimal control algorithms yields essential insights into how the nonlinear optimi...
Nausea
Nausea is a complex sensation that results from the interaction of certain fixed biological factors, such as gender, with changeable psychological factors, such as anxiety. This is the first book to provide a complete, in-depth explanation of what we know about nausea, along with the latest research results on its causes and treatment. As it is the product of long-term collaboration between scientists from the three main approaches to studying and treating nausea--psychology, gastroenterology, and physiology--the information this book provides is both comprehensive and well integrated. The book is divided into two parts, on mechanisms and management, respectively, and four sections. The chap...
Distributed Decision Making and Control
Distributed Decision Making and Control is a mathematical treatment of relevant problems in distributed control, decision and multiagent systems, The research reported was prompted by the recent rapid development in large-scale networked and embedded systems and communications. One of the main reasons for the growing complexity in such systems is the dynamics introduced by computation and communication delays. Reliability, predictability, and efficient utilization of processing power and network resources are central issues and the new theory and design methods presented here are needed to analyze and optimize the complex interactions that arise between controllers, plants and networks. The ...
E-Services Adoption
This book recognizes the uniqueness of the moment; the number of new users of e-services will double during 2015-2018 (moving from 2 billion users mostly from developed nations to an additional 2 billion mostly from developing nations). This radical embrace of new e-service technologies will improve the quality of lives for residents globally.
Iterative Learning Control with Passive Incomplete Information
This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.—a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model—for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomple...
Web Engineering
This book constitutes the thoroughly refereed proceedings of the 22nd International Conference on Web Engineering, ICWE 2022, held in Bari, Italy, in July 2022. The 23 revised full papers and 5 short papers presented were carefully reviewed and selected from 81 submissions. The books also contains 6 demonstration and poster papers, 7 symposium and 5 tutorial papers. They are organized in topical sections named: recommender systems based on web technology; social web applications; web applications modelling and engineering; web big data and web data analytics; web mining and knowledge extraction; web security and privacy; web user interfaces.
Product Innovation through Knowledge Management and Social Media Strategies
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Reviews of Environmental Contamination and Toxicology 189
Reviews of Environmental Contamination and Toxicology attempts to provide concise, critical reviews of timely advances, philosophy and significant areas of accomplished or needed endeavor in the total field of xenobiotics, in any segment of the environment, as well as toxicological implications.
IT Outsourcing: Concepts, Methodologies, Tools, and Applications
"This book covers a wide range of topics involved in the outsourcing of information technology through state-of-the-art collaborations of international field experts"--Provided by publisher.
