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Fig. 1 Dynamic rainfall monitoring using a sparsity exploiting framework.
Fig. 1 Dynamic rainfall monitoring using a sparsity exploiting framework The selection of the tuning parameter controlling the sparsity in the solution can be dynamically updated in every correction step.
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This chapter discusses a case study involving InlineEgg I. InlineEgg was created by the researchers at CORE Serial Digital Interface (SDI) to help accomplish a dynamic and extendable exploit framework for their product suite.
With these best practices, the developers can develop more interactive and efficient Web applications integrating features of Web 2.0 technologies with less effort as well as exploiting the framework benefits.
Exploiting this framework we managed to achieve, for abbreviation detection, an unweighted micro-averaged F-measure of 0.97 for the training set and an F-measure of 0.95 for test set based evaluation.
Based on a formal adversarial model, the Seed-Explore-Exploit framework is presented, for simulating the generation of data driven and reverse engineering attacks on classifiers.
By exploiting the frameworks of the fuzzy and PCA methods, a noise-resistant approach is created.
Therefore, exploiting new frameworks which can present different amplitude value of complex permeability according to the application requirement at room temperature are significant and challenging tasks.
The identification of these best practices would allow developers to construct more interactive and efficient Lift-based Web applications, integrating features of Web 2.0 technologies with less effort and exploiting the frameworks' benefits.
Examples showing real case of how we have exploited this framework within interactive decision support software are given.
Finally, we exploit our framework to revert the widespread belief that data warehouses can be treated as collections of materialized views.
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