At the model level, the RIPPER algorithm outperformed the other two evaluated algorithms.
Summary of the results at the model level, separated by algorithm, case-control model, dataset and grading.
As with model level analyses, the RIPPER algorithm was superior to the RIDOR and PART algorithms in rule level analyses.
This is called "Privacy by Design," and is about adding privacy safeguards directly at the product design, algorithm and business model level, so no one can abuse the users' data.
Future research on this framework includes comparison of the performance of the CDE based on the proposed model with smarter higher level algorithms and the integration of this type of physical modeling with other decision algorithms to achieve more efficient algorithms.
In this term, model-based level set algorithm has been applied for robust skull stripping [10].
At the individual level, algorithms presented in this study may include some discrepancies from one model to another, as was indicated in the above example.
Two hypothetical examples and a real world case are employed to evaluate the effectiveness of the proposed bi-level model and algorithm.
Our distributed computing extension makes it possible to use the same high-level model for specifying algorithms, while the algorithm can be carried out in a distributed computing environment, with limited overhead for communication between the compute nodes.
This paper presents a series of network-on-chip transaction-level model (TLM) algorithms that provide a highly abstracted view of the process of data transmission in priority preemptive and non-preemptive networks-on-chip, which permit a major reduction in simulation event count.
