On Some Problems in the Theory of Perfect Prediction
Author | : Joseph Francis Anthony Ormsby |
Publisher | : |
Total Pages | : 300 |
Release | : 1963 |
Genre | : |
ISBN | : |
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Author | : Joseph Francis Anthony Ormsby |
Publisher | : |
Total Pages | : 300 |
Release | : 1963 |
Genre | : |
ISBN | : |
Author | : Glen Meeden |
Publisher | : |
Total Pages | : 170 |
Release | : 1968 |
Genre | : Estimation theory |
ISBN | : |
Author | : Ben Jones |
Publisher | : Cambridge University Press |
Total Pages | : 241 |
Release | : 2022-04-21 |
Genre | : Political Science |
ISBN | : 1316517055 |
Explains why apocalyptic thought, despite often being dismissed as bizarre, has persistent appeal in political life.
Author | : University of California, Berkeley |
Publisher | : |
Total Pages | : 1032 |
Release | : 1962 |
Genre | : Commencement ceremonies |
ISBN | : |
Author | : Harry Dym |
Publisher | : Courier Corporation |
Total Pages | : 354 |
Release | : 2008-01-01 |
Genre | : Mathematics |
ISBN | : 048646279X |
This text offers background in function theory, Hardy functions, and probability as preparation for surveys of Gaussian processes, strings and spectral functions, and strings and spaces of integral functions. It addresses the relationship between the past and the future of a real, one-dimensional, stationary Gaussian process. 1976 edition.
Author | : Mikoláš Janota |
Publisher | : Springer |
Total Pages | : 438 |
Release | : 2019-06-28 |
Genre | : Computers |
ISBN | : 3030242587 |
This book constitutes the refereed proceedings of the 22nd International Conference on Theory and Applications of Satisfiability Testing, SAT 2019, held in Lisbon, Portugal, UK, in July 2019. The 19 revised full papers presented together with 7 short papers were carefully reviewed and selected from 64 submissions. The papers address different aspects of SAT interpreted in a broad sense, including (but not restricted to) theoretical advances (such as exact algorithms, proof complexity, and other complexity issues), practical search algorithms, knowledge compilation, implementation-level details of SAT solvers and SAT-based systems, problem encodings and reformulations, applications (including both novel application domains and improvements to existing approaches), as well as case studies and reports on findings based on rigorous experimentation.
Author | : Joseph Conlon |
Publisher | : CRC Press |
Total Pages | : 256 |
Release | : 2016-08-19 |
Genre | : Mathematics |
ISBN | : 1482242494 |
Physics World's 'Book of the Year' for 2016 An Entertaining and Enlightening Guide to the Who, What, and Why of String Theory, now also available in an updated reflowable electronic format compatible with mobile devices and e-readers. During the last 50 years, numerous physicists have tried to unravel the secrets of string theory. Yet why do these scientists work on a theory lacking experimental confirmation? Why String Theory? provides the answer, offering a highly readable and accessible panorama of the who, what, and why of this large aspect of modern theoretical physics. The author, a theoretical physics professor at the University of Oxford and a leading string theorist, explains what string theory is and where it originated. He describes how string theory fits into physics and why so many physicists and mathematicians find it appealing when working on topics from M-theory to monsters and from cosmology to superconductors.
Author | : Anne L. Washington |
Publisher | : Oxford University Press |
Total Pages | : 185 |
Release | : 2023 |
Genre | : Data mining |
ISBN | : 0197693024 |
Can data science truly serve the public interest? Data-driven analysis shapes many interpersonal, consumer, and cultural experiences yet scientific solutions to social problems routinely stumble. All too often, predictions remain solely a technocratic instrument that sets financial interests against service to humanity. Amidst a growing movement to use science for positive change, Anne L. Washington offers a solution-oriented approach to the ethical challenges of data science. Ethical Data Science empowers those striving to create predictive data technologies that benefit more people. As one of the first books on public interest technology, it provides a starting point for anyone who wants human values to counterbalance the institutional incentives that drive computational prediction. It argues that data science prediction embeds administrative preferences that often ignore the disenfranchised. The book introduces the prediction supply chain to highlight moral questions alongside the interlocking legal and commercial interests influencing data science. Structured around a typical data science workflow, the book systematically outlines the potential for more nuanced approaches to transforming data into meaningful patterns. Drawing on arts and humanities methods, it encourages readers to think critically about the full human potential of data science step-by-step. Situating data science within multiple layers of effort exposes dependencies while also pinpointing opportunities for research ethics and policy interventions. This approachable process lays the foundation for broader conversations with a wide range of audiences. Practitioners, academics, students, policy makers, and legislators can all learn how to identify social dynamics in data trends, reflect on ethical questions, and deliberate over solutions. The book proves the limits of predictive technology controlled by the few and calls for more inclusive data science.