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Power, Money, and Media
This text explores a broad range of media-related topics as they pertain to China. The chapters provide detailed analyses of such issues as the increasing influence of advertisers; the efforts of the Communist party to direct editorial content; and the impact of Hong Kong television on Guanggzhou.
A Novel Approach to China
This book explores Chinese novelists’ distinctive contributions to the China debate in terms of the key issues of Chinese language, power dynamics and Confucian tradition. As China is rising, Chinese scholars and policymakers are debating heatedly over China’s past, present and future. Who are the major debaters? How do they analyze China’s problems and figure out solutions? What are the main achievements and weaknesses of the Chinese intellectual debate and discourse? Chinese novelists also get involved in the China debate. However, their voices are rarely heard. This book argues that, by dramatizing the diversities of ordinary social actors’ everyday languages, active discursive practices and enchanted local traditions, Chinese novelists do not merely illustrate the dominant liberal, the New Left and the New Confucian ideologies, but enrich the China debate and provide a “novel” approach to our understanding of modern China.
The Bucky Wilson Story
Everybody's favorite seven year-old just got a year older! When an evil Russian General kidnaps Bucky's parents, it's up to the pint-sized explorer to find them. Bucky travels through mysterious ice caves, exotic palaces and even leads an attack on a Siberian prison to free his parents. With a little help from an aging wizard and his adventuresome Uncle Rex, Bucky battles sword-swinging ice ninjas, wild leopards and even his own fear in the quest to save his parents. Lavishly illustrated by James Aaron Houghton, The Bucky Wilson Story is a tale you won't be able to put down.
Machine Learning and Knowledge Discovery in Databases, Part III
This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
The Institutional Dynamics of China's Great Transformation
This book examines the role of institutions in China’s recent large-scale economic, social and political transformation. Unlike existing literature, it offers perspectives from a variety of disciplines - including law, economics, politics, international relations and communication studies – to consider whether institutions form, evolve and change differently according to their historical or cultural environments and if their utilitarian functions can, and should be, observed, identified and measured in different ways.
Big Data Technologies and Applications
The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture...
Virtual, Augmented and Mixed Reality
This volume constitutes the refereed proceedings of the 7th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2015, held as part of the 17th International Conference on Human-Computer Interaction, HCI 2015, held in Los Angeles, CA, USA, in August 2015. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences was carefully reviewed and selected from 4843 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The 54 papers included in this volume are organized in the following topical sections: user experience in virtual and augmented environments; developing virtual and augmented environments; agents and robots in virtual environments; VR for learning and training; VR in Health and Culture; industrial and military applications.
Debugging Machine Learning Models with Python
Master reproducible ML and DL models with Python and PyTorch to achieve high performance, explainability, and real-world success Key Features Learn how to improve performance of your models and eliminate model biases Strategically design your machine learning systems to minimize chances of failure in production Discover advanced techniques to solve real-world challenges Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDebugging Machine Learning Models with Python is a comprehensive guide that navigates you through the entire spectrum of mastering machine learning, from foundational concepts to advanced techniques. It goes beyond the basics to arm you with the ex...
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
The competence of deep learning for the automation and manufacturing sector has received astonishing attention in recent times. The manufacturing industry has recently experienced a revolutionary advancement despite several issues. One of the limitations for technical progress is the bottleneck encountered due to the enormous increase in data volume for processing, comprising various formats, semantics, qualities and features. Deep learning enables detection of meaningful features that are difficult to perform using traditional methods. The book takes the reader on a technological voyage of the industry 4.0 space. Chapters highlight recent applications of deep learning and the associated cha...
Introduction to Propriety Economics
In ancient times, scholars such as Confucius and Aristotle expounded on the virtue of the “middle way” or “intermediate,” an ideal point of moderation or balance between the extremes of human behavior. Adam Smith, widely considered the father of modern economics as we know it, also encouraged propriety in his first work, The Theory of Moral Sentiments. Since then, different schools of economics have continued to incorporate the idea of propriety into their theories, for example in such concepts as equilibrium and bounded rationality, though few economists have defined it explicitly. In light of growing uncertainty and polarization around the world, propriety economics offers alternat...
