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We explored the usage of several regularized regression based MTL approaches.
We explored the usage of palmprint biometric to create fuzzy vault.
After establishing the ability of our method to identify cell cycle mouse genes based on a curated human list, we explored the usage of cross species analysis for studying human diseases.
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We explore the usage of triaxial magnetometers and a friendly vessel with known magnetic dipole to silently localize the sensors.
To handle such correlation when building predictive models, we explore the usage of a multi-task learning (MTL) framework to search for a combination of tasks and features that highly correlate with the leadership and extraversion traits of humans.
We explored the impact of database usage on the number of probes retained during probe remapping (Table 2).
Assuming that there are 720 (6!) possible routes to visit all flowers once, we explored the frequency of route usage using multinomial tests with a random probability of 1/720.
Several recent studies explored the usage of memristive crossbar array for approximate and neuromorphic computing, including approximate matrix-vector multiplication.
This study explored the usage of glucose microparticles (GMPs) as porogens for the introduction of macroporosity within CPCs, and characterized the handling properties and physicochemical characteristics of CPCs containing GMPs.
The survey further explored the usage of access to 9 online databases: 2 databases in Chinese and 7 databases in English.
They explore the usage of triaxial magnetometers and a friendly vessel with known magnetic dipole to silently localize the sensors.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com