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Developed around real world case studies and inputs from professionals in the field of teaching and psychology, this guide seeks to introduce parents to emotional literacy and strategies to develop emotional resilience in their children.
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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...
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.
The first version of this Source Book argued the case for a "National Integrity System", an holistic approach to transparency and accountability and embracing a range of accountability "pillars", democratic, judicial, media and civil society. The expression has since passed into common usage in development circles, and the argument for an holistic approach to anti-corruption efforts has similarly achieved a widespread consensus. The fight against corruption is not wholly a moral one, in the sense that it is a struggle against the intrinsic "evil" of corruption. Certainly there is a moral element - and one which cuts across al major religions and societies throughout the world. But the compelling reason for the struggle is the suffering and deprivation corruption brings to whole societies, and to the world's most poor. It is concern for the latter, rather than a distaste for the corrupt and their deeds, that rightly drives the global movement against corruption.
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
This updated second edition of Acute Ischemic Stroke: Imaging and Intervention provides a comprehensive account of the state of the art in the diagnosis and treatment of acute ischemic stroke. The basic format of the first edition has been retained, with sections on fundamentals such as pathophysiology and causes, imaging techniques and interventions. However, each chapter has been revised to reflect the important recent progress in advanced neuroimaging and the use of interventional tools. In addition, a new chapter is included on the classification instruments for ischemic stroke and their use in predicting outcomes and therapeutic triage. All of the authors are internationally recognized experts and members of the interdisciplinary stroke team at the Massachusetts General Hospital and Harvard Medical School. The text is supported by numerous informative illustrations, and ease of reference is ensured through the inclusion of suitable tables. This book will serve as a unique source of up-to-date information for neurologists, emergency physicians, radiologists and other health care providers who care for the patient with acute ischemic stroke.
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Kevin Kwan, bestselling author of Crazy Rich Asians - now a smash hit international film - is back with a wickedly funny new novel of social climbing, secret emails, art-world scandal, lovesick billionaires, and the outrageous story of what happens when Rachel Chu, engaged to marry Asia's most eligible bachelor, discovers her birth father. On the eve of her wedding to Nicholas Young, heir to one of the greatest fortunes in Asia, Rachel should be over the moon. She has a flawless Asscher-cut diamond from JAR, a wedding dress she loves more than anything found in the salons of Paris and a fiance willing to sacrifice his entire inheritance in order to marry her. But Rachel still mourns the fact...
Reprint. Originally published: 2007. Reissued 2009.