نتایج جستجو برای: subject selection method
تعداد نتایج: 2088876 فیلتر نتایج به سال:
Prediction of urban air pollution is an important subject in environmental studies. However, the required data for prediction is not available for every interested location. So, different models have been proposed for air pollution prediction. The feature selection (among 20 features given in Meteorology Organization data) was performed by binary gravitational search algorithm (BGSA) in this st...
Objectives: In present study, we studied the effect of teaching three painting methods (free method, subject selection method and complementary method) on creativity of children with learning disabilities. First, among all disabled students, who refer to Bizhani center for learning disabilities in Arak city, 60 subjects were randomly selected as statistical sample. Thus, the 45 children, divide...
In neuroimaging data analysis, Gaussian graphical models are often used to model statistical dependencies across spatially remote brain regions known as functional connectivity. Typically, data is collected across a cohort of subjects and the scientific objectives consist of estimating population and subject-specific connectivity networks. A third objective that is often overlooked involves qua...
2000 Mathematics Subject Classification. 20E32, 20F05, 20F06.
Despite the significant academic and corporate interest in sports sponsorships, and despite the significant financial stakes these present (sports sponsorship is almost a $15 billion business in North America alone), the literature is equivocal both on the impact as well as on the determinants of the effectiveness of these activities. While some papers report sports sponsorships enhance shareho...
Structural segmentations of brain MRI can be generated by propagating manually labelled atlas images from a repository to a query subject and combining them. This method has been shown to be robust, consistent and increasingly accurate with increasing numbers of classifiers. It outperforms standard atlas-based segmentation but suffers, however, from problems of scale when the number of atlases ...
We have studied Subject Features Discovery methods for discovering resources in Web, but very few handle Web that alters structure. The CMSW (Classification Method for Semantic Web) is the methods that test resources in semantic Web. To make CMSW more result for the Web that are altering their structure, the method DCMSW (CMSW) is proposed which enhances CMSW to renew part structure in little t...
<p style='text-indent:20px;'>An optimization problem with moments information which suffers from distributional uncertainty can be handled through distributionally robust optimization. In this paper, we will consider multi-period portfolio selection since only moment of portfolios gathered in practice. We two different scenarios. One is that obtained exactly and the other one also uncerta...
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