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The End of the Maoist Era: Chinese Politics During the Twilight of the Cultural Revolution, 1972-1976
This book launches an ambitious reexamination of the elite politics behind one of the most remarkable transformations in the late twentieth century. As the first part of a new interpretation of the evolution of Chinese politics during the years 1972-82, it provides a detailed study of the end of the Maoist era, demonstrating Mao's continuing dominance even as his ability to control events ebbed away. The tensions within the "gang of four," the different treatment of Zhou Enlai and Deng Xiaoping, and the largely unexamined role of younger radicals are analyzed to reveal a view of the dynamic of elite politics that is at odds with accepted scholarship. The authors draw upon newly available documentary sources and extensive interviews with Chinese participants and historians to develop their challenging interpretation of one of the most poorly understood periods in the history of the People's Republic of China.
Intelligent Computing Theories and Technology
This book constitutes the refereed proceedings of the 9th International Conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. The 79 revised full papers presented were carefully reviewed and selected from 561 submissions. The papers are organized in topical sections on systems biology and computational biology; cognitive science and computational neuroscience; knowledge discovery and data mining; machine learning theory and methods; biomedical informatics theory and methods; complex systems theory and methods; natural language processing and computational linguistics; fuzzy theory and models; fuzzy systems and soft computing; particle swarm optimization and ni...
Energy Efficiency and Robustness of Advanced Machine Learning Architectures
Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals. This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex m...
