IEEE Std 1647-2011 (Revision of IEEE Std 1647-2008) - Redline
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File Size : 34,22 MB
Release : 2011
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File Size : 34,22 MB
Release : 2011
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File Size : 43,89 MB
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File Size : 46,3 MB
Release : 2011
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File Size : 41,85 MB
Release : 2011
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ISBN : 9780738169552
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File Size : 33,30 MB
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Author : Jonas Peters
Publisher : MIT Press
Page : 289 pages
File Size : 39,86 MB
Release : 2017-11-29
Category : Computers
ISBN : 0262037319
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
Author : Jancy C. McPhee
Publisher : U. S. National Aeronautics & Space Administration
Page : 396 pages
File Size : 47,56 MB
Release : 2009
Category : Biography & Autobiography
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Author : Barry N. Taylor
Publisher : DIANE Publishing
Page : 25 pages
File Size : 46,37 MB
Release : 2009-11
Category : Science
ISBN : 1437915566
Results of measurements and conclusions derived from them constitute much of the technical information produced by the National Institute of Standards and Technology (NIST). In July 1992 the Director of NIST appointed an Ad Hoc Committee on Uncertainty Statements and charged it with recommending a policy on this important topic. The Committee concluded that the CIPM approach could be used to provide quantitative expression of measurement that would satisfy NIST¿s customers¿ requirements. NIST initially published a Technical Note on this issue in Jan. 1993. This 1994 edition addresses the most important questions raised by recipients concerning some of the points it addressed and some it did not. Illustrations.
Author : Andrea Cusano
Publisher : Springer
Page : 377 pages
File Size : 10,84 MB
Release : 2014-07-29
Category : Science
ISBN : 3319069985
This book focuses on a research field that is rapidly emerging as one of the most promising ones for the global optics and photonics community: the “lab-on-fiber” technology. Inspired by the well-established "lab on-a-chip" concept, this new technology essentially envisages novel and highly functionalized devices completely integrated into a single optical fiber for both communication and sensing applications. Based on the R&D experience of some of the world's leading authorities in the fields of optics, photonics, nanotechnology, and material science, this book provides a broad and accurate description of the main developments and achievements in the lab-on-fiber technology roadmap, also highlighting the new perspectives and challenges to be faced. This book is essential for scientists interested in the cutting-edge fiber optic technology, but also for graduate students.