Out‐of‐the‐loop crash prediction: the automation expectation mismatch (AEM) algorithm
نویسندگان
چکیده
منابع مشابه
The Expectation Maximization Algorithm
This note represents my attempt at explaining the EM algorithm (Hartley, 1958; Dempster et al., 1977; McLachlan and Krishnan, 1997). This is just a slight variation on TomMinka’s tutorial (Minka, 1998), perhaps a little easier (or perhaps not). It includes a graphical example to provide some intuition. 1 Intuitive Explanation of EM EM is an iterative optimizationmethod to estimate some unknown ...
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In the previous class we already mentioned that many of the most powerful probabilistic models contain hidden variables. We will denote these variables with y. It is usually also the case that these models are most easily written in terms of their joint density, p(d,y,θ) = p(d|y,θ) p(y|θ) p(θ) (1) Remember also that the objective function we want to maximize is the log-likelihood (possibly incl...
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Historical data confirm that rural roadways carry less than half of America’s traffic but account for the majority of the nation’s vehicular deaths. According to NHTSA, Wyoming has the highest crash fatality rate in the nation with a reported 2009 road death rate of 24.6 per 100,000 population, more than twice the national average of 11.0. High speed two-lane rural roads are believed to contrib...
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In this paper, we use a general mathematical and experimental methodology to analyze image deconvolution. The main procedure is to use an example image convolving it with a know Gaussian point spread function and then develop algorithms to recover the image. Observe the deconvolution process by adding Gaussian and Poisson noise at different signal to noise ratios. In addition, we will describe ...
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ژورنال
عنوان ژورنال: IET Intelligent Transport Systems
سال: 2019
ISSN: 1751-9578,1751-9578
DOI: 10.1049/iet-its.2018.5555