نتایج جستجو برای: likelihood based assignment
تعداد نتایج: 3019924 فیلتر نتایج به سال:
Mobile crowdsensing (MCS) is a novel data-collection paradigm in the internet of things. Social welfare an important factor task allocation because it integrates interests all parties involved MCS and represents societal satisfaction. The ultimate goal to maximize social as much possible. Existing optimization research does not consider moral psychological characteristics people real world. In ...
We introduce three discriminative parameter learning algorithms for Bayesian network classifiers based on optimizing either the conditional likelihood (CL) or a lower-bound surrogate of the CL. One training procedure is based on the extended Baum-Welch (EBW) algorithm. Similarly, the remaining two approaches iteratively optimize the parameters (initialized to ML) with a 2-step algorithm. In the...
Omnibus tests for various nonparametric hypotheses are developed using the empirical likelihood method. These include tests for symmetry about zero, changes in distribution, independence and exponentiality. The approach is to localize the empirical likelihood using a suitable ‘time’ variable implicit in the null hypothesis and then form an integral of the log-likelihood ratio statistic. The asy...
Finbar’s Hotel is a multi-author book which was written by seven contemporary Irish authors. A novelty aspect of the book is that the names of the seven authors are known, but the assignment of authors to the seven chapters is unknown; each chapter has only one author. A model-based classification procedure is developed to determine the authorship of each chapter of the book. Vocabulary distrib...
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