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It is also possible that this kind of coöperation is temporary, a reflection of the newness and initial discomfort that comes with working on a scale that is exceptional, and that a newsroom that is better geared for large database leaks will be less inclined to share them.
It is useful for large database settings, especially when there are frequent slight modifications.
We must also notice that this model is proposed for large database (>50 data).
With the increase of available computer power, fast 3D structural overlay software, such as ROCS [9], has become attractive for large database screening.
To address the slow convergence speed of Fuzzy ARTMAP for large database problems, we propose the use of space-filling curves, specifically the Hilbert space-filling curves (HSFC).
Given that the resulting smaller datasets that the HSFC approach produces can independently be learned by different Fuzzy ARTMAP networks, we have also implemented and tested a parallel implementation of this approach on a Beowulf cluster of workstations that further speeds up Fuzzy ARTMAP's convergence to a solution for large database problems.
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In each case the idea is to use old recordings of people's voices to enable them to regain the power of real-time speech.More realistic synthesised voices, without the need for large databases of recordings, would have many other uses.
For large databases, the search time can be significantly long.
The package is optimised for large databases and a fast visualisation rendering.
MQN provide a simple classification system for large databases with good performance in prospective virtual screening [36, 37] as well as for database visualization [38, 39].
In contrast, the model-based approach generates recommendations with low accuracy but is scalable for large databases in e-commerce recommender systems.
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Justyna Jupowicz-Kozak
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