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Furthermore, this conceptual design utilises a Collaborative decision-support model that effectively interacts with the decision-makers and the management information systems/tools exist in the network, and provides appropriate support to all necessary decision-making steps towards the attainment of the network's strategic goals, while making full benefits of the network resources.
Tu [18] introduced an autocontext scene parsing model that effectively takes contextual information into account: this works well, but training takes several days.
Also, a model that effectively discriminates on local features may be ineffective or misleading if applied at the global level.
Our goal is to develop a distributed logistic regression model that effectively synthesizes data (public and private) across different sites (institutions) in a differentially private manner.
Our approach provides a way out of this conundrum by providing quantitative parameter estimates (for use in a decision model) that effectively combine qualitative and quantitative information through the elicitation of probability densities.
The authors studied the foraging behavior of the C. elegans worm and found that the transitions from a local (search intensive) to a global (less turns, larger area) search strategy can be explained by a drift diffusion model that effectively maximizes information about the location of the food source.
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To identify and showcase models that effectively create kinder, more inclusive school communities.
This chapter describes the optimization models that effectively address the coordination of various decisions concerning the planning and design of the supply chain, and are the promising foundations for the development of Decision Support Systems in this field.
Pre-clinical models that effectively recapitulate human disease are critical for expanding our knowledge of cancer biology and drug resistance mechanisms.
GWASs performed on a genetically diverse set of strains measured using gold-standard phenotypic assays could be used to train models that effectively replace much routine clinical antimicrobial-resistance testing.
This allows for rapid input output model building that effectively eliminates lengthy structural model selection processes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com