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Balancing Privacy and Free Speech
In an age of smartphones, Facebook and YouTube, privacy may seem to be a norm of the past. This book addresses ethical and legal questions that arise when media technologies are used to give individuals unwanted attention. Drawing from a broad range of cases within the US, UK, Australia, Europe, and elsewhere, Mark Tunick asks whether privacy interests can ever be weightier than society’s interest in free speech and access to information. Taking a comparative and interdisciplinary approach, and drawing on the work of political theorist Jeremy Waldron concerning toleration, the book argues that we can still have a legitimate interest in controlling the extent to which information about us i...
The European Right to Be Forgotten
In 28 European countries, removing personal data from the Internet is as simple as filling out a form online by anyone claiming a 'right to be forgotten'. Most decisions regarding data removal are left to companies who operate search engines like Google and Microsoft, with little judicial involvement beyond the appeals process. I analyze how removal of information from Internet search results may negatively affect historical accuracy, free speech and the public interest. I will argue that the European courts should have more involvement, and I propose alternative ways to implement the right to be forgotten that will be less overreaching than current policies. These suggestions aim to decrease the current number of data removal cases to provide a more manageable caseload for European courts to handle, and lessen the role played by companies such as Google in deciding whether or not to erase search engine results online.
The Possibility Machine
Singular and star-studded writings on America’s neon-lit playground At once a Technicolor wonderland and the embodiment of American mythology, Las Vegas exists at the Ground Zero of a reverence for risk-taking and the transformative power of a winning hand. Jake Johnson edits a collection of short essays and flash ideas that probes how music-making and soundscapes shape the City of Second Chances. Treating topics ranging from Cher to Cirque de Soleil, the contributors delve into how music and musicians factored in the early development of Vegas’s image; the role of local communities of musicians and Strip mainstays in sustaining tensions between belief and disbelief; the ways aging showr...
Rico Rodriguez
Readers discover fun facts about the life and career of the young star of one of television’s most popular shows, Modern Family. Rico Rodriguez found fame playing the lovable Manny Delgado, and readers explore the road he took to get the role and the promising future he has ahead of him in Hollywood. With the help of accessible text and a detailed timeline of his life and career, readers of all ages experience the career highlights of one of the most charming young actors on television. Filled with colorful photographs, readers are sure to enjoy and remain engaged throughout.
The Pregnancy Project
The real life story of Gaby Rodriguex, the teen who faked her pregnancy as part of a sociological experiment.
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
Designer File
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Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.
