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In addition to the existing seven objective functions, totally, 21 different clustering algorithms are discussed and the performance is validated with 16 different datasets which are synthetic, small and large scale real data.
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More theoretical development and large-scale real data analysis for the dynamic properties of the biological pathways are urgently needed.
In all, BWA-SW is tuned toward practical usefulness given large-scale real data.
We also propose an efficient local search-based metaheuristic algorithm to mine such rules in large scale, real-life data sets extracted from a hospital's information system.
I have also worked on how to smartly generate large-scale synthetic dataset for training deep convolutional networks, such that the trained deep networks generalize to unseen real data, and even outperform those trained on (smaller scale) real data.
There are many articles outlining the theoretical errors associated with distribution data from museum collections [9], [13], [14], but few which test these errors on a large scale with real data.
Through extensive computational experiments on large-scale real genotype data, the proposed method is shown to be fast and efficient.
We specifically focus on the many implementation details that are important for application on large-scale real-world data, and give solutions to common problems that occur with experimental data.
The currently available multi-core PCI Express systems running LabVIEW RT (real-time), equipped with FPGA cards for data acquisition and real-time parallel signal processing, greatly shorten the design and implementation cycles of large-scale, real-time data acquisition and control systems.
Recent advances in artificial intelligence and machine learning have made it possible to uncover subtle patterns and hidden trends in large-scale real-world data.
We conduct an empirical evaluation on a large-scale real-world data set that is collected over one year and consists of 2.8 millions of sensor events.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com