Titlebook: Making organisations work; Trevor Owen Book 1978 Trevor Owen 1978 democracy.environment.nature.organization.service.trade unions.trust

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Trevor Owenrning anddeep learning in toxicological research. It is a useful guide for toxicologists, chemists, drug discovery and development researchers, regulatory scientists, government reviewers, and graduate students978-3-031-20732-7978-3-031-20730-3Series ISSN 2662-4869 Series E-ISSN 2662-4877

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Trevor Owenels in the United States of America. In being able to identify and predict social unrest at the county level, programs/applications can be deployed to counteract its adverse effects. This paper attempts to address this task of identifying, understanding, and predicting when social unrest might occur

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Trevor Owen problem and analyze how an objective function of LDA can be interpreted in multi-labeled setting. We also propose a LDA algorithm which is effective in a multi-labeled problem. Experimental results demonstrate that by considering multi-labeled structures LDA can achieve computational efficiency and

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Trevor Owenta. SSCR combines statistically significant association rules with cost-sensitive learning to build an associative classifier. Experimental results show that SSCR achieves best performance in terms of true positive rate and recall on real-world imbalanced datasets, compared with CBA and C4.5.

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