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This book highlights reliable, valid and practical testing and assessment of interpreting, presenting important developments in China, where testing and assessment have long been a major concern for interpreting educators and researchers, but have remained largely under-reported.
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The remaining chapters of the book provide everything one must know about the basic artificial intelligence to modern machine... Læs mere
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This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and... Læs mere
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We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been... Læs mere
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This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area.
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This book focuses on privacy and security concerns in big data and differentiates between privacy and security and privacy requirements in big data.
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The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020.
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This book provides an introduction to the field of periodic pattern mining, reviews state-of-the-art techniques, discusses recent advances, and reviews open-source software.
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This book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. In Part I, it provides an introduction to production scheduling, existing solution methods, and the GP approach to production scheduling.