Sentence examples for different levels of granularity from inspiring English sources
For example, a particular difference may be simply explained by the different levels of granularity with which metabolic processes are described by each database, instead of a fundamentally different biological insight.
Two different levels of granularity are possible for session guarantees since Coda maintains version vectors for both files and volumes.
The relationships of hierarchical decision tables are then discussed under different levels of granularity.
In my lab, we have already begun to explore a hybrid approach to algorithm and system design that provides more frequent, fine-grained communication, while retaining determinism at different levels of granularity.
The proposed MLP comes with interval-valued weights and biases, and is trained using a genetic algorithm designed to fit data with different levels of granularity.
The best mapping search can be very costly when complex applications presenting different levels of granularity must be evaluated in a heterogeneous computation platform.
Through actor-oriented and hierarchical modeling features built into Ptolemy, Kepler scientific workflows can operate at very different level of granularity, from low-level "plumbing workflows" that explictely move data around, start and monitor remote jobs, etc. to high-level "conceptual workflows" that interlink complex, domain specific data analysis steps.
"What we decided was to go to a different level of granularity," CEO Jean-Marie Huillot tells me, "something that is always fresh, always new, to attract people back to have more engagement".
However, this approach requires a comprehensive collection of manually curated reference gene sets and might fail if the employed libraries are not up to date with the latest research, don't capture relevant biological themes or are curated at a different level of granularity than is required to appropriately analyze the input gene set.
However, this approach might fail if the employed libraries are not up to date with the latest research, don't capture relevant biological themes or are curated at a different level of granularity than is required to appropriately analyze the input gene set.
