Abstract: The Bayesian Cramér-Rao bound (CRB) provides a lower bound on the mean square error of any Bayesian estimator under mild regularity conditions. It can be ...
Probability theory is indispensable in computer science: It is at the core of artificial intelligence and machine learning, which require decision making under uncertainty. It is integral to CS theory ...
Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
Witnesses reported seeing the tornado-like phenomenon hit the Bayesian, a sailing yacht that sank off the coast of Sicily on Monday. By Eve Sampson What caused the sinking on Monday of a sailing yacht ...
The package implements Maximum a Posteriori Estimation (MAP) to accomplish the estimation of fatigue models' parameters. Currently the package is designed to identify the El Haddad (EH) curve given a ...
1 The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China 2 Cuban Neuroscience Center, ...
Simultaneous Localization and Mapping (SLAM) is concerned with the development of filters to accurately and efficiently infer the state parameters (position, orientation, etc.) of an agent and aspects ...
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