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Wealth and Power
By now everyone knows the basic facts of China's rise to pre-eminence over the past three decades. But how did this erstwhile sleeping giant finally manage to arrive at its current phase of dynamic growth? How did a century-long succession of failures to change somehow culminate in the extraordinary dynamism of China today? By examining the lives of eleven influential officials, writers, activists and leaders whose contributions helped create modern China, Wealth and Power addresses these questions. This fascinating survey moves from the lead-up to the first Opium War through to contemporary opposition to single-party rule. Along the way, we meet titans of Chinese history, intellectuals and political figures. By unwrapping the intellectual antecedents of today's resurgent China, Orville Schell and John Delury supply much-needed insight into the country's tortured progression from nineteenth-century decline to twenty-first-century boom. By looking backward into the past to understand forces at work for hundreds of years, they help us understand China today and the future that this singular country is helping shape for all of us.
The Ocean and Cryosphere in a Changing Climate
The Intergovernmental Panel on Climate Change (IPCC) is the leading international body for assessing the science related to climate change. It provides policymakers with regular assessments of the scientific basis of human-induced climate change, its impacts and future risks, and options for adaptation and mitigation. This IPCC Special Report on the Ocean and Cryosphere in a Changing Climate is the most comprehensive and up-to-date assessment of the observed and projected changes to the ocean and cryosphere and their associated impacts and risks, with a focus on resilience, risk management response options, and adaptation measures, considering both their potential and limitations. It brings together knowledge on physical and biogeochemical changes, the interplay with ecosystem changes, and the implications for human communities. It serves policymakers, decision makers, stakeholders, and all interested parties with unbiased, up-to-date, policy-relevant information. This title is also available as Open Access on Cambridge Core.
Beyond the Worst-Case Analysis of Algorithms
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
Attachment Theory and Research
This volume showcases the latest theoretical and empirical work from some of the top scholars in attachment. Extending classic themes and describing important new applications, the book examines several ways in which attachment processes help explain how people think, feel, and behave in different situations and at different stages in the life cycle. Topics include the effects of early experiences on adult relationships; new developments in neuroscience and genetics; attachment orientations and parenting; connections between attachment and psychopathology, as well as health outcomes; and the relationship of attachment theory and processes to clinical interventions.
Density Ratio Estimation in Machine Learning
This book introduces theories, methods and applications of density ratio estimation, a newly emerging paradigm in the machine learning community.
Recommender Systems Handbook
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi...
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
The Beijing Bureau
The Beijing Bureau is a collection of essays revealing the insights of twenty-five Australian foreign correspondents into China, from the 1970s to present day: the lives of its people, its government and its culture, and what China's rise means for Australia and the world community. China dominates the headlines across the world as the country takes for itself a global role. As governments, businesses and individuals increasingly rely on news reports to make decisions, The Beijing Bureau brings together Australia’s most acclaimed journalists to share their hard-won knowledge of China and stories of life as a correspondent: including Mike Smith, Stan Grant, Stephen McDonell, Rowan Callick a...
Practical Database Programming with Java
Covers fundamental and advanced Java database programming techniques for beginning and experienced readers This book covers the practical considerations and applications in database programming using Java NetBeans IDE, JavaServer Pages, JavaServer Faces, and Java Beans, and comes complete with authentic examples and detailed explanations. Two data-action methods are developed and presented in this important resource. With Java Persistence API and plug-in Tools, readers are directed step by step through the entire database programming development process and will be able to design and build professional data-action projects with a few lines of code in mere minutes. The second method, runtime ...
