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Post-growth Economics and Society
We stand on the threshold of a "post-growth" world – one in which the relentless pursuit of economic growth has ceased to constitute a credible societal project. The symptoms that mark the end of an era are clear and incontrovertible: a return to the regularities of the past is illusory. The pursuit of economic growth no longer constitutes a credible societal project for ecological, social, and geopolitical reasons. Edited by an impressive array of experts, this book identifies several areas in which we must fundamentally rethink our societal organisation. They ask what it means to abandon the objective of economic growth; how we can encourage the emergence of other visions to guide societ...
Positional Analysis for Sustainable Development
Climate change, biodiversity loss, pollution of land and water, land-use changes, lack of equality and other problems at local, national and global levels represent a challenge for economics as a social science. Mainstream neoclassical economics may be able to contribute to a more sustainable society but it has also played a dominant role in a period where problems have been aggravated. A pluralist and democratic view of economics is therefore very much warranted. This book presents a multidimensional and ideologically more open view of economics: understanding economics in multidimensional terms is in accordance with the 17 sustainable development goals recognized by nations at the UN-level...
Alternative Movie Posters
The world s best, wittiest lowbrow designers reimagine movie posters for 150 cult films that are built into the DNA of any movie buff "Nightmare on Elm Street," "Psycho," "Vertigo," "Poltergeist," "Metropolis," "Ghostbusters," "Blue Velvet," "Blade Runner," "Star Wars," "Alien," "Mad Max," "Robocop," "Reservoir Dogs," "Jaws," " The Big Lebowski," "Rosemary's Baby," " Taxi Driver," "The Postman Always Rings Twice," and many more films are given new art by the likes of Grimb, Coop, O'Connell, Alderete, Hertz, Pullin, and more. Almost always better than the originals, these new visual takes on iconic movies will delight anyone with an interest in film. For the Hollywood aficionado this visual feast makes a perfect gift; while for graphic designers, both professional and students, this makes for a great source of ideas and inspiration."
Computational Methods of Feature Selection
Due to increasing demands for dimensionality reduction, research on feature selection has deeply and widely expanded into many fields, including computational statistics, pattern recognition, machine learning, data mining, and knowledge discovery. Highlighting current research issues, Computational Methods of Feature Selection introduces the
Feature Extraction
This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.
Data Classification
Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlying algorithms of classification as well as applications of classification in a variety of problem domains, including text, multimedia, social network, and biological data. This comprehensive book focuses on three primary aspects of data classification: Methods-The book first describes common techniques used for classification, including probabilis...
Ensemble Methods
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Editorial Amendments (Us Federal Communications Commission Regulation) (Fcc) (2018 Edition)
Editorial Amendments (US Federal Communications Commission Regulation) (FCC) (2018 Edition) The Law Library presents the complete text of the Editorial Amendments (US Federal Communications Commission Regulation) (FCC) (2018 Edition). Updated as of May 29, 2018 In this document, the Federal Communications Commission (Commission) makes certain minor editorial amendments to its rules to correct errors or omissions of publication, eliminate duplicative language, or conform the rules with other rule sections in effort to provide clear and concise rules that are easy for the public to understand. This book contains: - The complete text of the Editorial Amendments (US Federal Communications Commission Regulation) (FCC) (2018 Edition) - A table of contents with the page number of each section
Capital Flows at Risk: Taming the Ebbs and Flows
The volatility of capital flows to emerging markets continues to pose challenges to policymakers. In this paper, we propose a new framework to answer critical policy questions: What policies and policy frameworks are most effective in dampening sharp capital flow movements in response to global shocks? What are the near- versus medium-term trade-offs of different policies? We tackle these questions using a quantile regression framework to predict the entire future probability distribution of capital flows to emerging markets, based on current domestic structural characteristics, policies, and global financial conditions. This new approach allows policymakers to quantify capital flows risks and evaluate policy tools to mitigate them, thus building the foundation of a risk management framework for capital flows.
