منابع مشابه
Sam Wang
Sam Wang is a pioneer in using statistical methods to analyze U.S. presidential election polls. In this election season interview with Neuron, he discusses diagnosing partisan gerrymandering, his research on the cerebellum, and how he analyzes polls with high accuracy.
متن کاملSam Reid
Pascal’s mechanical calculator and Babbage’s Analytic Engine set the stage for a great deal of modern computing machinery. Modern versions of these concepts were finally realized in von Neumann’s architecture in about 1950. However, the science of computing does not depend on physical implementations of these ideas, but rather on virtual machines—that is, abstractions that perform computations ...
متن کاملLoopy SAM
Smoothing approaches to the Simultaneous Localization and Mapping (SLAM) problem in robotics are superior to the more common filtering approaches in being exact, better equipped to deal with non-linearities, and computing the entire robot trajectory. However, while filtering algorithms that perform map updates in constant time exist, no analogous smoothing method is available. We aim to rectify...
متن کاملScience Arts & Métiers (sam)
A method to solve stochastic partial differential equations on random domains consists in using a one to one random mapping function which transforms the random domain into a deterministic domain. With this method, the randomness is then supported by the constitutive relationship of the material. In this paper, this method is applied in electrokinetics in the case of scalar potential and vector...
متن کاملSquare Root SAM
Solving the SLAM problem is one way to enable a robot to explore, map, and navigate in a previously unknown environment. We investigate smoothing approaches as a viable alternative to extended Kalman filter-based solutions to the problem. In particular, we look at approaches that factorize either the associated information matrix or the measurement matrix into square root form. Such techniques ...
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ژورنال
عنوان ژورنال: The Lancet
سال: 2016
ISSN: 0140-6736
DOI: 10.1016/s0140-6736(16)30028-9