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The motivation behind the use of these methods is to make minimal assumptions about the data used for training.
We make minimal assumptions about the observation equation so that any computable nonlinear function can be accommodated.
CASA exploits the intrinsic properties of sounds for separation and makes relatively minimal assumptions about specific sound sources.
Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will be assembled, while the digital product description is designed collaboratively between the designer at an OEM and automated services at potential manufacturers.
The technique shows robustness to source nonstationarities as well as anisotropic properties of the unknown signal propagation medium under no constraints on the array design, and with minimal assumptions about the underlying signal and noise processes.
The algorithm is designed for statistical quality of service guarantees and its theoretical foundation stems from the application of the many sources asymptotic, a large deviation result whose general validity and accuracy are specially useful to cope with admissions both to buffered and unbuffered resources making minimal assumptions about the statistical properties of the traffic.
Similar(38)
Another important goal was the ability to operate over a wide variety of links and physical layers such as ARPANET, X25, satellite links, packet radio networks, and serial links, which was achieved by making a very minimal assumption about lower layers and the functions they provide.
Because of the minimal assumptions made about the movement process, our approach can be used to estimate and compare navigation ability for many migratory species that are able to carry electronic tracking devices.
Minimal assumptions are made about the abilities of the robots on a team.
However, that does not change the existence of the fundamental conflict between Pareto efficient and Nash equilibrium outcomes because it was generated by the minimal assumptions noted above about what was collectively preferable.
This significance threshold was determined by using the classical method of nonparametric permutation testing [31, 32], requiring minimal assumptions (for example, about the shape of the population distribution) for validity.
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